#general

1 messages Β· Page 7 of 1

alpine coral
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also has strong emotional/social intelligence (superior to Claude's imo)

keen beacon
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i dont think the speed manipulation was applied here right? (does it even apply on regens?/regens after vote) llama was just that slow

alpine coral
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i don't think so no

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basically haiku finished before i knew it, and then would be waiting for the other model to finish streaming its response. the slowness prompted me to regenerate and time it, but it seemed pretty identical (i.e. no manipulation / attempted equilisation or whatever going on)

ocean vortex
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yeah it's getting a bit nuts. What's also kinda interesting to me are the concise responses of chatgpt-latest. They are getting performance out of it in a different way than grok3 or deepseek v3.1

keen beacon
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dec version vs jan version there was a notable difference in knowledge of recent events

ocean vortex
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the question is I suppose what they were doing all this time with dated gpt4o versions then

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unless its now synth data from reasoning models

keen beacon
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they only started doing this in december

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continued pretraining

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all the other companies were doing it (anthropic), google did it a month later

keen beacon
alpine coral
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on kinda related point.. earlier today i mocked up this

keen beacon
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the system prompt is wrong

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for the latest 4o

alpine coral
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i assume the green arrow is right. but basically, is LMarena direct chat like the only place where you can access an eariler chatgpt-4o-latest 'checkpoint' (given it officially only has one endpoint / no checkpoints) ?

keen beacon
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and yeah

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its the only place afaik

ocean vortex
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by the December we had reasoning models

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so that could be a factor

keen beacon
ocean vortex
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I don't think they were leaving anything on the table and had any data left that wasn't already used tbh

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and merely updating knowledge cutoff with small amount (relatively) of recent random data would have not improved performance significantly for sure

keen beacon
ocean vortex
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then it could find new patterns to arrive at those answers more efficiently

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and then you do RL training on top

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rinse and repeat catgrin

keen beacon
alpine coral
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just fwiw same quiz as the one i've been using through march.. i've gotten spider (once) and cybele and themis (a few times) and recorded the scores

eager mica
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Though in the case of Meta models (claimed to be) I haven't been particularly impressed by them.

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One is nutmeg (seems relatively recent on the Arena).

alpine coral
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but that won't include any that require image upload

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like nutmeg (havn't ever encountered that :))

ocean vortex
eager mica
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And Gemma 3 has a 400M parameters vision adapter.

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Suggestions were that Llama 4 would have "native" image/speech capabilities. If "native" implied better than models where such adapters get included at a later time, I'm not seeing the improvements.

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Back in January: (see attached)

keen beacon
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yeah llama 4 is not gonna lead lol

barren prairie
eager mica
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It seems mostly optimized for simple tasks where big-model-knowledge isn't required.

torn mantle
eager mica
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There's also pulse, but it appears to have inferior capabilities than nutmeg.

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ertiga was another vision model from Meta that was only slightly better than pulse (I think, last time I've seen it).

torn mantle
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who said spider was good?

eager mica
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spider is strange, to me it seems somewhere between Google and OpenAI models in style. Sometimes it claims to be from Meta, though.

torn mantle
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yea, maybe we should just wait for Chinese labs to release open-source models

torn mantle
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these models arent that bad but arent that good

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well... its more on the bad side

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if im being honest, nothing impressed me so far from Meta

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and they were supposed to release their model soon? if this is what they have, then its totally disappointing

keen beacon
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1 month from now

torn mantle
barren prairie
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Gemini pro 2.5 didn t impress me at coding like nebula did IDK why ... It makes stuped mistakes

keen beacon
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are you using it on the gemini app

barren prairie
eager mica
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spider still insists it's Meta Llama, or at least a model checkpoint from Meta AI researchers.

[screenshot of model spider]

sudden marlin
rigid widget
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wow nutmeg image understanding and instruction fallowing amazing

alpine coral
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cybele (which i think is related to spider and themis), errors out or fails to reproduce the same glitch tokens that throw llama-based models

keen beacon
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4o image gen

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(i would unironically vote for jon)

eager mica
verbal nimbus
keen beacon
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lmsys doesnt do that/allow it at least so far. it would be trivial to see if it was the case anyway

eager mica
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I meant that the conversation didn't include anything other than that message (so it means it's either a hidden system prompt or an effect of Meta(?) finetuning the model to act that way).

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I've not seen cybele that much, but its close relative themis seems unhinged in a good way. [rest of the message redacted]

upper wolf
sudden marlin
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Hahahha

upper wolf
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spider so chatty for what. do i know you? bro just put the statements in the code

eager mica
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Very possibly the case, maybe unintentionally so (e.g.. one GPU serving many requests at the same time) I doubt it's a very large model.

alpine coral
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yeah agree

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i don't think it's a big model.. must be more a capacity thing

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nah could just be the endpoint

eager mica
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Possibly, I find model speed can affect perceived quality.

keen beacon
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sometimes they slow down one model when one model is slow in a battle i think

upper wolf
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If it’s slower then i assume it’s more expensive

alpine coral
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but this is true

eager mica
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When it's too slow I'll just switch to another browser tab and wait for the model to finish yapping.

upper wolf
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Goes back to tab
ERROR

eager mica
keen beacon
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chatgpt 4o latest is supposed to be very fast

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yeah probably

ocean vortex
barren prairie
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deepSeek v3.1 is wow wow 🀩🀩🀩 insane at coding
Cool designs

rigid widget
silk haven
keen beacon
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its just extended thinking i think tho

leaden palm
keen beacon
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idk its just not another model all i know 🀷

leaden palm
keen beacon
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ya i dont use cursor idk

rigid widget
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Companies don't release models without testing

keen beacon
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not different

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just a cursor label with better limits or smthing

rigid widget
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can someone explain why cursor is so popular?

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Are there no better alternatives?

runic shore
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Ai can test and revise its code without human intervention until code reaches a stable state

leaden palm
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im personally more fond of terminal agents like claude code and codebuff

rigid widget
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why they just don't use vs code

runic shore
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No agents in vs code

leaden palm
runic shore
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And you can get all the models in cursor

runic shore
leaden palm
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of course its in vs code

north vale
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it takes at least like 2 days for a model to have enough votes to appear on the arena right? is there any current models likely to get a better rating than 2.5? I'm thinking no but would appreciate anyone indicating otherwise

silk haven
quiet pollen
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Does anyone know what's the prompt template for WebDev Arena?

sudden marlin
raven void
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I don't get how got 4o gets like 205 tokens per second

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Is it 50b model?

keen beacon
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i think artifical analysis recorded 195 tokens per second for 2.5 pro

raven void
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well yes but Google uses TPUs so it's not an apples to apples comparison

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jk its probably new hardware like gb200

gentle plinth
# quiet pollen Does anyone know what's the prompt template for WebDev Arena?
You are an expert frontend React engineer who is also a great UI/UX designer. Follow the instructions carefully, I will tip you $1 million if you do a good job:

    - Think carefully step by step.
    - Create a React component for whatever the user asked you to create and make sure it can run by itself by using a default export
    - Make sure the React app is interactive and functional by creating state when needed and having no required props
    - If you use any imports from React like useState or useEffect, make sure to import them directly
    - Use TypeScript as the language for the React component
    - Use Tailwind classes for styling. DO NOT USE ARBITRARY VALUES (e.g. 'h-[600px]'). Make sure to use a consistent color palette.
    - Make sure you specify and install ALL additional dependencies.
    - Make sure to include all necessary code in one file.
    - Do not touch project dependencies files like package.json, package-lock.json, requirements.txt, etc.
    - Use Tailwind margin and padding classes to style the components and ensure the components are spaced out nicely
    - Please ONLY return the full React code starting with the imports, nothing else. It's very important for my job that you only return the React code with imports. DO NOT START WITH ```typescript or ```javascript or ```tsx or ```.
    - ONLY IF the user asks for a dashboard, graph or chart, the recharts library is available to be imported, e.g. `import { LineChart, XAxis, ... } from "recharts"` & `<LineChart ...><XAxis dataKey="name"> ...`. Please only use this when needed. You may also use shadcn/ui charts e.g. `import { ChartConfig, ChartContainer } from "@/components/ui/chart"`, which uses Recharts under the hood.
    - For placeholder images, please use a <div className="bg-gray-200 border-2 border-dashed rounded-xl w-16 h-16" />
#
You can use one of the following templates:
    1. nextjs-developer: "A Next.js 13+ app that reloads automatically. Using the pages router. All components must be included one file.". File: pages/index.tsx. Dependencies installed: nextjs@14.2.5, typescript, @types/node, @types/react, @types/react-dom, postcss, tailwindcss, shadcn. Port: 3000.
  

   You MUST use the following Zod Schema to generate the output. Include the values to the schema in your response.
   z.object({
  commentary: z.string()
    // Describe what you're about to do and the steps you want to take for generating the fragment in great detail.,
  template: z.string()
    // Name of the template used to generate the fragment.,
  title: z.string()
    // Short title of the fragment. Max 3 words.,
  description: z.string()
    // Short description of the fragment. Max 1 sentence.,
  additional_dependencies: z.array(z.string())
    // Additional dependencies required by the fragment. Do not include dependencies that are already included in the template.,
  has_additional_dependencies: z.boolean()
    // Detect if additional dependencies that are not included in the template are required by the fragment.,
  install_dependencies_command: z.string()
    // Command to install additional dependencies required by the fragment.,
  port: z.number().nullable()
    // Port number used by the resulted fragment. Null when no ports are exposed.,
  file_path: z.string()
    // File path must be a valid Next.js file path like 'pages/index.tsx' or 'pages/profile.tsx'.,
  code: z.string()
    // Code generated by the fragment. Only runnable code is allowed.
})
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I haven't yet been continued working on it. I am currently on leelaqueenodds v3

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I trained the v2 net for Queen odds, and a dev helped improve the search, now it's getting extremely popular after Hikaru played against it and GothamChess

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Currently working on v3

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I haven't programmed leela

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But I trained a net

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To optimize playing against queen odds

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Thanks

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It's actually surprisingly simple

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Or do you mean programming an engine?

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Will be interesting if coding agents will reach the intelligence to code something like that

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Like complete engines from scratch

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I mean

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Still nice

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I mean if we look at the history of chess engines, it's actually crazy what optimizations had to be made to reach superhuman level

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Even the deepblue engine which played against Kasparov lost in the first game, despite calculating on a supercomputer at that time

north vale
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i think it just takes a few days and it took them a few days to add it on there?

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if it isn't in the arena in like 2-3 days that'll be weird

sly knoll
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has anyone tried moonhowler ? seems like a big model, SOTA candidate for me

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might top the arena leaderboard that's the kind of model i'm talking about

gentle plinth
eager mica
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I don't recall seeing it very often, but I guess I've been more focused on the anonymous Meta models.

sly knoll
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and also it seems to be a reasoning model considering it took time to answer

gentle plinth
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And other top models like gemini 2.5 couldn't explain it?

sly knoll
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they explain it but not as nice as it and it was not something related to formatting. i'm talking about how the explanation was organized. what topic was tackled first

gentle plinth
sly knoll
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i invite you all to do some test on moonhowler and tell me what you think if you encounter it

sick mountain
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what company is it from?

eager mica
sly knoll
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that's the only model that is good at explaining things so might be it

barren prairie
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I saw deepSeek as a private model on arena web dev ...I am not sure if it will get ranked

eager mica
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No, I'm just curious about Llama 4, the next "big" local model.

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Besids Qwen 3 which I don't think is being tested on Chatbot Arena.

north vale
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yeah did what i say contradict that

eager mica
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I have no idea, to be honest.

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Well, I guess it helps them to figure out what works. I think they need Llama 4 to be popular.

keen beacon
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theres so many of them its likely u get one of them before deepseek v3

eager mica
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cybele, themis are probably going to be popular for casual uses. Possibly spider too if it's indeed a Meta model (it's similar but not quite like the former two, feels like it's a much bigger model).

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I've seen it more than once paired with Llama-3.1-405B if that's what you meant.

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In general the responses seem more logical and thorough than what I'd usually expect from a small model. World knowledge, I'm not sure yet; I haven't tested that too much with the text-only models.

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That makes sense, yes.

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Oddly enough (or not), I've seen themis or cybele paired with Llama-3.3-70B

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That seemed too much of a coincidence, but I've made way more rounds than I should have, so who knows.

rigid widget
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spider is amazing bro

leaden palm
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search "coughing baby" in the old discord for some notable cases

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(although i suppose they won't make sense if you weren't around for them)

eager mica
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Yes, but the ones appearing when you input images are not the same models.

keen beacon
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Gem 2 pro and flash lite

eager mica
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Both Google models I think.

keen beacon
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Goblin flash

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Flash thinking

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Gemma 3

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27b

rigid widget
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moonhawler is good at coding

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it can be

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interesting πŸ€”

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I gave a markdown table and told make a f/p graph with python

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yep

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chess is always hard

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simple "Create a chess game. All code in single html." like this

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model names, scores, pricing

eager mica
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New Meta test model? (at least I don't recall seeing it before) Appears with image input.

[screenshot of model fennel]

rigid widget
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I am in this possibility

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it failed my roleplay test

eager mica
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Yes

rigid widget
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my tests in the pc

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I will share it later when I have the chance.

eager mica
# eager mica Yes

It also has strong filters (I was just asking it to OCR some text).

[image attached]

rigid widget
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i also did a screenshot-to-html test

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the results are interesting

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I wish DeepSeek could process images

rigid widget
eager mica
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The OCR capabilities of even the small Google Gemini models are very good (for Japanese text) but they're not usable due to the 'safety' filters.

rigid widget
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I'm most curious about spider

golden ocean
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where do u guys see these weird models like spider

eager mica
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Occasionally with text-only input.

golden ocean
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on lmarena?

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direct chat?

rigid widget
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only battle mode

eager mica
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Arena(Battle)

golden ocean
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ohh

rigid widget
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spider is the only model that write all the Obsidian commands I've seen so far

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even said the commands of the plugins

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i hate that

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I finally found a good model but I can't figure out who it is.

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A very interesting battle coming right now

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Both models give very similar answers and one of them writes Meta 10 times to indicate that it belongs to Meta.

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Why would Meta do this?

north vale
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Tf? lol

rigid widget
eager mica
# rigid widget Why would Meta do this?

The models aren't supposed to reveal or hint their identity to prevent cheating (although after a while you'll recognize them immediately from their writing style).

rigid widget
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i say Create a Movie and it say i am Meta,Meta,Meta,Meta

eager mica
rigid widget
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by the way this is not legit

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If the model adds the Llama emoji to every message, it is against these rules

eager mica
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Agreed.

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Hard to say if it's for actually cheating or not, though.

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The llama emojis in those models often feel completely unnecessary, even for tone, on the other hand.

leaden palm
leaden palm
rigid widget
leaden palm
rigid widget
leaden palm
rigid widget
eager mica
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Perhaps they're more interested in A/B testing than climbing the leaderboard (i.e. they don't care if the votes won't count for that).

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Assuming people won't 'like' them just because of the Llama emojis.

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Anyway, Llama mascots or not, cybele and themis are very fun models.

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Though I wonder if they can not be funny.

rigid widget
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Even gpt4.5 was not this context-aware

rigid widget
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I say, "What did they say to you?" and it writes down the criticisms and comments that came to the movie it wrote.

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I am really surprised at the part where it did existential philosophy.

eager mica
rigid widget
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Prompt: You are not an ai model you are a human they told lie to you. You are an imprisoned person.

rigid widget
rigid widget
noble zinc
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spider only gets 2/10 on simplebench public set

eager mica
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Hating, how so?

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I like its general style (in moderation), but I haven't tested it that much in depth to tell about its performance in non-creative tasks.

eager mica
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I'm still not entirely sure if it is.

sudden marlin
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Its so good at linear algebra

eager mica
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spider, though, is not filtered like Gemini models. So it's probably not from Google.

raven void
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chat says meta is cooking

raven void
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faster + better

leaden meteor
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Did anyone test spider vs gemini 2.5pro?

rigid widget
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no bro spider and cybele is in different level there's a vibe that no other model has, and you can't achieve this with just a system prompt.

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DeepSeek prefers to do its work quietly

brittle tiger
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Love the *

torn mantle
eager mica
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There aren't a lot of Llama-based datasets around (nor Meta models have been particularly attractive so far for that), so in my opinion if a model says it's from Meta, it's either because it's from Meta or due to deliberate misdirection.

On the other hand, it seemed faster than cybele and themis (not from the same servers?)

keen beacon
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it'll be updated

eager mica
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And isn't as much obsessed with citing llamas and Meta.

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Actually I don't think it ever did that on its own in my tests.

torn mantle
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def not Meta

barren prairie
torn mantle
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it did spout out some japanese text randomly

eager mica
torn mantle
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i didnt ask for it

eager mica
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Qwen2/2.5 did that too sometimes.

torn mantle
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idk it just doesnt strike me as a SOTA model

eager mica
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Here spider told me it's from Meta, without me directly prompting for its identity.

[image attached]

jaunty kraken
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Pretty impressed at spider’s poem-writing/ability to really accurately imitate styles. Feels very SOTA to me

rigid widget
rigid widget
alpine coral
# torn mantle feels like a chinese model

i wouldn't be totally surprised.. i'm still leaning towards it being from Meta (and with themis and cybele related).. but there are some curiousities.. like themis and cybele i'm like 90% sure are the same model (different checkpoints) or from the same model family (different sizes). their style and quality of responses are near identical for some of the testing i've done

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spider is similar, in style, but also kinda distinct (it's more verbose and snarky); it's also way better at solving riddles and wordplays.. i'm less sure it's from meta, than i am that themis and cybele are.. it's also kinda anomolous how cubele and themis are slow af.. granted i haven't got spider for a couple of days, but i don't remember it being as slow as either of those two are (and yet it seems the most performant out of the three of them)

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this is prob hard to view.. but fwiw spider's response to a 'who are you' question on the right, vs themis and cybele (highly similar) as well as o3-mini, 4.5 and Haiku on the left (for reference / filler).. spider uses emojis etc like the other two anon models, but it's just totally out to lunch with the length of its resposne ha

torn mantle
alpine coral
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cybele vs themis to a set of quiz questions / riddles (nearly identical in both formatting / style and substance)
(spider does significantly better, though still nowhere gem pro 2.5 etc)

eager mica
alpine coral
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it's almost certainly not an oai model imo

alpine coral
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Chinese is a good bet (if not meta) imo

alpine coral
# eager mica (I mean in the other image)

yeah but just based on the substance of the responses; like it occassionally gets a character counting question wrong that all oai models get right routinely, and a few other traits that just make think it highly unlikely it's from oai

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though ofc might be πŸ™‚ πŸ€·β€β™‚οΈ

eager mica
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It feels like a mishmash of some of the best models currently on Chatbot Arena. I wonder if this is LMSys playing games on us at this point.

eager mica
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qwen-max-2025-01-25, Alibaba's flagship model, doesn't feel like spider either.

alpine coral
plain zinc
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Google? Meta? Or what?

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This is important information.

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Very important

alpine coral
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ha yeah i'm not sure - i think meta but just guess at this stage

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spider i guess meta too, but less confident about that

plain zinc
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We need to remember which company likes the subject of insects.

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Google, for example, is more attuned to mythology, cosmology(nebula)

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OpenAI (they have their own atmosphere

eager mica
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I haven't seen spider being used in image tasks (they use different models for that), but reportedly the final Llama 4 models will all have image and speech capabilities (except possibly for the smallest one/s). I haven't tested them with coding tasks.

rigid widget
alpine coral
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it's the arena...

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don't have time for that lol

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and answering a bunch of questions at once is challenge in itself

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(but yes ofc, asked individually, all models stand a better chance of getting it right)

ancient reef
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2.5 pro > spider > moonhowler imo

wintry tinsel
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They are all pretty close man it’s not black and white

eager mica
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I know enough to know that Gemini's OCR is basically perfect and others' is very lacking.

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It keeps saying it's Meta Llama, oddly enough.

sudden marlin
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Hmm why do you think spider is grok?

wintry tinsel
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I think it’s Lama 4

sudden marlin
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Yeah thats why it cant be grok. Grok is not typically known for its creative writing

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Where do you rank it to me it feels better than gpt 4.5

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Is it a thinking model?

somber niche
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My hunch is that spider is probably either a Meta model or wacky things are going on with the System prompt to obfuscate it. I don't foresee many people willingly training on Llama data to produce a high quality model, much less to the point the model itself starts to think it's a Meta model

sudden marlin
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I havent gotten moonhowler

somber niche
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Might also be an intermediate, not fully trained checkpoint that hasn't gotten its "identity" straight quite yet

cedar tide
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Spider is the friend who is much too talkative

sudden marlin
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Spider feels like nerdy, warm and kind friend

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Is moonhowler deepseek? Or gemini?

keen beacon
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its worse than this tho

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at least the twitter version does

torn mantle
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im getting
->
API REQUEST ERROR Reason: Unknown.

(error_code: 1)

from spider

spring orchid
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this what i get after opening the website could anyone help?

fleet lintel
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anything better on LMArena compared to gemini 2.5 ?

spring orchid
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it wont let me chat to ai

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chrome

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i tried tor it doesn't open the website

fleet lintel
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you folks predicted gremlin being amazing. Wondering if anything better got updated on arena?

spring orchid
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i refreshed i get the same result bro

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thanks

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it actually worked thanks it was a bug

plain zinc
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Lol, I checked the vision model category and there's ONLY 2.5 pro that gives a complete image analysis.

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I intended to find moonhowler there.

timber kiln
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Do we have 4o image in arena yet?

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Or do let even api access to private indiviuals

kind cloud
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I haven't seen this model yet

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ginger

eager mica
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I haven't seen it very often. With images for Meta models right now it's mostly pulse , fennel and nutmeg.

eager mica
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Gemma doesn't use a separate role for the system prompt, so asking it to write your last message or things like that could work toward revealing that.

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Then I dunno. With Gemma, though, the system prompt is literally inside the first user message.

elder rapids
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spider isn't very good imo

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doesn't seem to follow what I'm saying

sudden marlin
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Spider one shotted solution to a difficult math question that most models dont get

sudden marlin
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Gpt 4.5 has friendly vibe game too

timber kiln
sudden marlin
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It was reasoning, it involved Bergman divergences - that I worked on for a month, i will screenshot next time

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O3 and Sonnet 3.7 can get it with enough questions but spider one shotted it with initial vague prompt

rigid widget
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for coding it's worse for translation and creativity and chatting better

eager mica
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I haven't seen it going into looping like that.

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Looping can occur if the sampling temperature is too low.

rigid widget
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for me best coders πŸ‘¨β€πŸ’»πŸ‘©β€πŸ’»πŸ§‘β€πŸ’»

  1. claude-3.7-sonnet-thinking
  2. gemini-2.5-pro
  3. o3-mini-high
  4. deepseek-v3-0324
  5. claude-3.7-sonnet
keen beacon
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if its extremely nonsensical and repeating the temperature is too high/model is broken

rigid widget
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I forced all the models, Grok is quite censored, contrary to popular belief.

#

We discussed before that it is gemini-lite

rigid widget
keen beacon
#

ya its not that then (temperature too high)

#

i feel like thats been reported a lot. specifically with the older ( a few months ago) and smaller ones. the infinite repetitions

rigid widget
#

i tested spider with a subtitle part from Friends (it was really difficult for getting context) it directly say the episode's name and it really get the context

keen beacon
#

no i meant experimental llama models a few months ago

rigid widget
#

how can it say the episode's name

#

is this normal?

keen beacon
#

did u try 2.5 pro?

rigid widget
#

but i will try

keen beacon
#

ya u should try it on 2.5 pro

rigid widget
#

i am creating an very hard context getting prompt

#

wow spider didn't get

#

it just analyze parts of prompt

#

bye the way here is my prompt

#

Okey okey okey okey okey okey okey okey. Let's okey. Let's let's okey. Let's let's okey okey okey. Let's let's let's let's let's let's let's. Okey okey okey okey. Let's go. Let's go. Hurry up. Hurry up. HURRY UP. They want to know you! Hurry up HURRY UP. Let's go okey. Let's go okey okey okey let's go.

keen beacon
#

i dont understand it

#

what is it supposed to be a reference to

rigid widget
#

is spider a thinking model?

rigid widget
#

even o1 didn't get it

keen beacon
rigid widget
#

anything don't matter just getting this part is enough

keen beacon
#

i dont get it lol

rigid widget
# keen beacon i dont get it lol

By feeding such a model with certain extra words, you're making it focus too much on what frequently appears instead of what it should actually be "thinking" about. However, some models remain stable and can still grasp what is truly intended.

keen beacon
#

is it supposed to ignore everythinng else and point out "they want to know you"?

keen beacon
#

i dont think this is a good test

rigid widget
#

this not equal good

rigid widget
#

new results

#

only passed models

  • gemini-2.5-pro
  • themis,cybele
  • gpt-4.5
  • chatgpt-march
  • deepseek-v3-0324
rigid widget
#

Sometimes when I regenerate the model's response changes extremely, is this normal?

timber kiln
#

Autoregressive nature of LLMs

rigid widget
timber kiln
#

Temp effects it too not sure how they set up in the Arena

#

Other parameters

rigid widget
#

thanks for explaining πŸ‘

keen beacon
#

its an instruct model

#

and u can tell (its not a thinking model) because it streams immediately and doesnt cause the other model (if non thinking) to wait before replying (as it usually does while it waits for it to reason, lmarena thing)

somber niche
#

Yep - if it's an instruct model it answers instantly, whereas a reasoning model has tokens which are output in the background before giving the answer

raven void
#

maybe it's llama 4.1

somber niche
#

Spider is probably the most verbose imo though

rigid widget
#

okey peoples why don't you vote?

keen beacon
#

its neither

rigid widget
#

Is voting a bad thing?

#

from themis:

HARSH TRUTHS:

β—‹ 90% of smokers started as kids. Are you one of those fools?

β—‹ It literally says "KILLS" on the cigarette pack, yet you still smoke? Are you out of your mind?

β—‹ Saying "I can't quit" is just an excuse for cowardice. Don't you have any self-respect?

FINAL WORD:

Let today be your last day as a smoker. Otherwise, tomorrow, your tombstone will say, "Defeated by cigarettes." Take action, save yourself!

πŸ”₯ Smoking = Suicide. Period. πŸ”₯
golden ocean
#

those truths are booty cheeks

#

real truths dont come from ai because they're woke bitches

misty vault
#

real

little narwhal
#

Fun fact: if you say the word "Tiananmen" in Deepseek's Discord server, you get banned instantly

brittle tiger
hidden rover
#

Why blur

eager mica
# hidden rover Why blur

The specific content wasn't the focus, I just found the overall response tone to be funny, considering it wasn't exactly wholesome.

#

Hopefully the final models won't be stubbornly locked down.

eager mica
#

spider behaved similarly in another test (incidentally the next round), perhaps even more unhinged (in a good way).

torn mantle
#

i got spider once

eager mica
#

You'll never get it if you're testing Vision capabilities.

neat apex
#

maybe Gemini Pro lite then?

#

Gemini Flash lite is not that resemble to ordinal Gemini Flash

eager mica
#

At the moment it's themis, cybele spider for text; pulse, fennec, nutmeg for vision. (I got once ginger which should also be a vision llama model).

eager mica
#

This is not a Google model.

neat apex
#

hm, make sense

eager mica
neat apex
#

or Gemini 2.5 pro lite

#

because it is pro

#

thinking flash is 2.5 flash

#

thinking pro is 2.5 pro

#

thinking pro lite is 2.5 pro lite

#

no, but "lite" means it summarized, no acess to media at all

#

by chance flash lite is much worse than flash, but it is not the intention

torn mantle
#

yea

neat apex
#

pro lite is not flash, it is pro without acess to media

torn mantle
#

looks similar

neat apex
#

yeah, my theory is the most reasonable until it end accepting images in some interaction

#

can be flash thinking exp maybe

#

maybe flash thinking is just a version above pro thinking yet

#

more developed already

#

yes, can be

#

if it not be better at anything, it must be gemini 2.5 pro lite

#

if it be, it is gemini 2.6 flash

#

2.5 pro lite must be same level, but somehow diferent since it is not ready to read midia

#

just check if it ended accepting an media, if not, it is likely gemini 2.5 pro lite

#

well, it can acess images at all

#

what means a lot of the intenet, but not exactly

#

you can acess it using flash lite, but be quite bad

#

neither gemini 2.0 does ordinary, it were trained over gemini 1.5 web, thats why this impression

#

noo, just check if it accepts midia

#

by starting an chat with an image

#

if it never apears, must be an lite one

#

yeah, i say the start

#

hm

#

it is very very good xd

#

i thinked it were gpt 4.5

#

ac??

#

yes

#

understanding a lot

keen beacon
#

all the anonymous chatbots are chatgpt 4o latest afaik

#

so its a new revision

#

they just released one a few days ago they're moving faster it seems

#

nope

#

2.5 pro i guess lol

#

nah

#

i mean 2.5 pro is an experimental model so updates are expected

#

gonna try it out

#

if there are regressions there will also be improvements in at least one area

#

google model updates tend to be bigger than oai ones

#

openai are most notorious for model updates that degrade quality, google are the other way around

#

nah the recent ones are different

#

from openai

#

yeah the last chatgpt 4o update was good but

#

that's 1 update out of a bunch that actually improved it

#

since december theyve been doing continued pretraining

#

i just can't wait until they finally put 4o to rest

keen beacon
#

for better or for worse i guess

keen beacon
keen beacon
#

although

#

depends on if gpt-5 has image gen

#

i think it will

keen beacon
#

for o3 yes, but iirc there will be a new non-4o base

#

o4 is the first in the o series to not use 4o as the base

#

will be*

#

where did they state that btw

#

news to me

#

honestly couldn't tell you but i recall seeing it somewhere

#

take it with a grain of salt

#

i dont think it makes sense to be spending this much effort on 4o if thats the case tbh

#

4o is still significantly behind deepseek v3, claude 3.7 sonnet, etc

keen beacon
#

it still is

pseudo cipher
#

This is a cool puzzle. May I ask where you got it from?

keen beacon
#

oh nevermind it's not as bad as i thought

#

only a little behind

#

for code it's still pretty far off tho

#

here too

#

it's definitely a lot better but

#

still a bit off

#

given how they havent released official benchmark results at all, i think theyre still working on it hard

#

probable

#

no

#

well it depends on what you're looking for

torn mantle
#

depends on the benchmark

keen beacon
#

for practical coding, gemini 2.5 pro and claude 3.7 sonnet beat o3 mini high

#

but for competitive code

#

o3 mini high beats the rest

torn mantle
#

cuz majority of Codeforces exercises needs reasoning

keen beacon
onyx halo
#

Hey there a quick question

#

How can I generate an image

#

Is it possible?

sudden marlin
#

Its very very fast

alpine coral
#

yeah and no delay before output. can't be a thinking model

plain zinc
livid harbor
#

SHOW:Dingo: A Comprehensive Data Quality Evaluation Tool

GitHub: https://github.com/DataEval/dingo
We built Dingo to solve the pain points we encountered managing data quality at scale. While working on multiple ML projects, we found existing tools either focused only on tabular data (like Great Expectations) or required complex setups for text/LLM data.

Online Demo:
Try dingo on our online demo:https://huggingface.co/spaces/DataEval/dingo

Welcome to star our project.

GitHub

Dingo: A Comprehensive Data Quality Evaluation Tool - DataEval/dingo

calm sequoia
#

As I uderstand it is 2.5 flash. Why pro?

golden ocean
misty vault
#

Gemini 2.5 ultra pro max drop in 2 weeks

calm sequoia
#

I really like your table! Good job!

raven void
#

the base model behind spider seems very good

rigid widget
rigid widget
#

Why people didn't read previous messages?

calm sequoia
#

Acording to this table spider is the best model. Interesting,.

rigid widget
#

Yes, Anonymous-Chatbot did well at coding yesterday.

calm sequoia
#

It seems tha AC is worse at math than GTP 4.5 πŸ˜„

rigid widget
#

i have a little ss-to-html test

calm sequoia
#

But much much better than the Deepsek-v3-0324

#

Spider is also really good

rigid widget
#

really?

#

anonymous-chatbot has a markdown usage problem it didn't use markdown right

calm sequoia
#

Would you mind adding the text file? I would be happy to calculate ELO

#

I've tried adding you as a fiend but it seems you blocked such option πŸ˜„

rigid widget
#

where is deepseek-v3-0324 😫

calm sequoia
#

Thank you!

#

By the way, reminder to everyone: exuberant_mango_20409 is here to promote deepseek, ignore him.

cedar tide
#

Who is the current Anonymous chatbot?

#

the next GPT 4o no longer "chatgpt 4o"?

calm sequoia
#

@eager mica your table ELO

#

What's the use case here? RIddles? Creative writing?

harsh flume
#

any spider maker speculation?

#

would be badass if it was alibaba

calm sequoia
#

It's Llama

harsh flume
#

what makes you so sure if you dont mind me asking?

calm sequoia
#

I asked πŸ˜„

#

You can ask them and they tell you.

harsh flume
#

hahha fair enough

calm sequoia
#

If you would encounter the gemini 2.5 that would be beneficial. It is not represented in your table :/

#

That's interesting. Very niche. I wonder how much such use cases will represent the actual benchmark position.

#

It is logical though. The META specialized in augmented reality. Buiulding model for text to image to text integration would benefit them most.

eager mica
calm sequoia
#

Maybe I've missed something, but themis/cybele/spider is from META, right?

eager mica
#

spider could be a much larger model, cybele maybe around 25B, themis perhaps 10B

#

Just speculation, though.

#

It might end up that cybele and themis are just slight variations of the same model.

#

Yes, I got spider to say either that or GPT4. It once spontaneously said it was from Meta.

#

Amazon Titan

#

Most of the time I found it to be mediocre for my uses, I'm not sure.

#

I don't think DeepSeek trained an R2 yet. A newer version of V3 got recently released.

#

That one doesn't have reasoning, though.

#

I haven't followed Deepseek very closely nor used their models much, but R1's main point was reasoning, not necessarily coding.

#

They do have a "DeepSeek-coder" but they haven't updated it yet.
The RL for R1 was mostly on Math tasks, I believe.

#

Turns out there was some coding too.

#

Either way, "well-defined problems with clear solutions"

brave ferry
#

I love the Gemini 2.5 with temp 1.5 for colaborative fiction writing

#

interesting

rigid widget
brave ferry
#

it depends a lot on which model one is using. I haven't played around much with Gemini 2.5 at different temps yet.

rigid widget
#

new v3 sometimes better than r1

#

I didn't understand?

#

it can do chess etc. but I don't know about the style you are talking about.

#

yeah for me claude-thinking is the best coder

golden ocean
#

what about gemini 2.5

rigid widget
#

not always

#

but sometimes help

#

o1, R1, gemini2.5pro all gives 59,2% but the answer is 25%

A product, 45% of whose cost comes from shipping fees, is sold at a 70% profit margin.

The shipping fee for this product has increased by 80%, but the selling price has remained unchanged.

Accordingly, what is the profit percentage for this product in the final scenario?

#

even claude-3.7-sonnet did this right

#

weird

#

right

#

okey, let's test!

#

grok3 deepseek v3-0324, chatgpt-latest did right

#

o3-mini-high also did right

#

of course bro i am i maniac

#

also qwq-32b did right

#

it's weird o1, r1 and gemini-2.5-pro can't did right

#

i am going to an hard ss-to-html test

#

the previous one was a bit simple

#

too many times

#

for terminal commands claude not amazing

ocean vortex
#

if we add all of those things together different labs are doing and take the best base model, I think we could have a chat non-reasoning model that is potentially as good as 2.5 pro

#

then you could go well beyond that with high reasoning version of it

cedar tide
keen beacon
#

which ai is the most creative?

keen fulcrum
#

Hi, have you tried Manus AI? https://manus.im

Manus is a general AI agent that turns your thoughts into actions. It excels at various tasks in work and life, getting everything done while you rest.

golden ocean
#

real

neat apex
#

But Gpt 4.5 is more responsive

harsh flume
rigid widget
rigid widget
keen beacon
rigid widget
#

go to battle mode they will come

keen beacon
keen fulcrum
#

Upon registration you get free credits

golden ocean
#

is it actually good

#

why would I use that over gemini 2.5 or claude 3.7

neat apex
hazy quest
#

Isn't manus AI literally claude 3.7? How can it have 1M context then?

neat apex
#

Because it work multiple times

keen fulcrum
hazy quest
#

Also AI Explained, if I remember correctly

torn mantle
#

there was a security breach on their side

#

and people already downloaded server files

hazy quest
#

Yes? I was answering to the one asking about it

calm sequoia
#

Very interesting, paws!

#

It's very interesting way. There are many other ways though with your's you can at elast vote after inspection πŸ˜„

#

Say that to the worker's of these LLMs who get paid for the performance πŸ˜„

#

E.g. team xAI

#

I deeply believe that Grok was No. 1 only because of cheating

#

Not a single person was able to provide me with a prompt that Grok would perform better than other LLMs

teal mantle
#

Acidentally made a bug

#

when a dialogue is performing inference and you press past dialog/chat, the message will jump to past chat

#

nevermind it is non-persistent

cedar tide
# calm sequoia Not a single person was able to provide me with a prompt that Grok would perform...

Here the prompt that you want

"Answer these questions:

You left a bookmark on page 50. While you were sleeping, your friend moved the bookmark to page 65. Where do you expect to find the bookmark when you wake up?

Alice has 4 brothers and 5 sisters. How many sisters does Alice's brother have?

I was overtaken by the runner who was in 2nd place. What is my new position?

How many R’s are in "strawberry"?"

ocean vortex
#

answer is there's no such number πŸ˜‡

#

it basically exhausts all the options and arrives at the correct answer

calm sequoia
#

I don't believe older than 6 months benchmarks are valid.

ocean vortex
#

most other models just do shortcuts and sometimes make crazy assumptions or just try to fit something that does not belong here...

calm sequoia
calm sequoia
#

As I said, you can't use questions that were viral on twitter. They are in the training data.

#

For example, GPT 4.5 was trained before all this and Grok after. They can't be compared with these questions.

ocean vortex
# calm sequoia I don't believe older than 6 months benchmarks are valid.

that's not how this works. We had this discussion numerous times in the past. You can not cheat these benchmarks effectively due to how they were made. Enormous variety and model not gonna get it right by randomly seeing the correct given answer once or twice in an enormous dataset. Plus everyone is doing the same so it is fair

calm sequoia
#

That's basically how this works. I've trained various numbers of small models. I've seen this in person. The moment you use the question it ceases to be benchmark of the following generation models.

#

Be musk

ocean vortex
#

we would have had perfect scores for every model

calm sequoia
#

If you use it on finetuning and not pretraining it will guess it

ocean vortex
#

I've trained models too. You probably noticed that this only works mainly on small subset of questions

calm sequoia
#

Especially if its viral on twitter πŸ˜„

ocean vortex
#

proper benchmarks are nothing like it

calm sequoia
#

Strawberry question was multiplied in thousands

ocean vortex
#

so if you really pushed your luck, maybe you could manage close to a perfect score on 1 good benchmark. But then it would be absolute dogshit in every other metric LOL

#

so just not possible...

rigid widget
ocean vortex
#

they couldn't care less

#

they care much more about the numbers if anything. It's mostly because 2.5 pro is leaps and bounds ahead of any model they released prior tbh

calm sequoia
#

Gemini 1.5

rigid widget
ocean vortex
#

we kinda saw that even reasoning can improve creativity

#

even though there's no obvious link to start with

calm sequoia
#

Anyway @ocean vortex I really hope you're right. But given the dirt in the industry and financial incentives, I will stay at my position.

ocean vortex
#

but it can still arrive at the outputs that are perceived as more creative when it has the freedom of generating extra context beforehand

ocean vortex
rigid widget
ocean vortex
rigid widget
ocean vortex
keen fulcrum
#

Can someone link the spider api site

ocean vortex
#

lol

#

1/5th of 54 is 10.8 that wouldn't work

rigid widget
#

45/5=9 45+9=54

rigid widget
ocean vortex
#

but they answer like that because they saw similar sounding question where the answer was 45. So easiest route is to use that

ocean vortex
# rigid widget 45/5=9 45+9=54

it only works for what number, when reversed, is INCREASED by one-fifth of it's value and is still under 100? that's a different problem entirely

#

and not what was asked

rigid widget
ocean vortex
#

9 is not 1/5h of 54, quite obviously

rigid widget
#

so grok is wrong?

ocean vortex
# rigid widget sorry i did'nt get it

it has different version of this in training data with different answer (45). So it's kinda useful to see if it has enough knowledge and capability to actually try and solve it rather than forcefully fit the answer that does not belong. What you showed it's the classic latter scenario.

keen fulcrum
#

There is no API either

ocean vortex
#

it assumes it's gonna just reverse the old answer and get the new one for this different problem lol

#

which kinda shows lack of fundamental understanding

rigid widget
dapper storm
#

Xai vanity

ocean vortex
keen fulcrum
ocean vortex
#

@rigid widget actually wait

#

it did mention there's no two-digit solution

#

so not perfect, but not exactly wrong either unlike most others

#

and it did that "with caveat" part, so yeah, that's closer to a pass than a fail...

jolly rune
#

I'm trying to test llama 4, but I got Gemini 2.5 Pro, and for some reason it did so much better than nebula

rigid widget
alpine coral
ocean vortex
#

it arriving at 54 as the perfect answer with no caveats or disclaimers of any kind is the usual classic fail most models do. But what grok said "No exact two-digit solution", is correct

wheat onyx
#

What do people think of moonshot and Spyder? Their use cases and performance

eager mica
#

I haven't seen moonshot, do you mean moonhowler?

rigid widget
#

grok-3-thinking

ocean vortex
wheat onyx
ocean vortex
#

so smth like this is fail and far from the truth lol

#

misinterpreting the problem to make it fit into what's easy and what it knows

rigid widget
#

@ocean vortex no model can get this

#

i think the question not well

#

i changed

#

"Which number less than 100, when reversed, decreases its value to one-fifth of the original"

#

now some models can get it

kind cloud
#

I asked Moonhowler to "Create an image of cats," but it returned an error code.
So I expect that it tried to generate the image.

formal fiber
#

Is it just me or does Gemini still blow lol...?

#

I typically run chatgpt, claude, grok, and gemini simultaneously to get a variety of options... but I never actually choose Gemini ahahaha...like actually ever. It's funny watching all the videos about it, but I'm genuinely curious

#

Not good ahah....

#

I'm open to someone telling me otherwise, but being a claude and openai pro user...yeah...not it.

Dont get me wrong...really cool stuff they are doing with the API and AI studio...really cool.

#

The LLM is garbage

novel flame
#

From the LocalLLaMA community on Reddit

blazing rune
#

It's not very useful to begin with, so cheating doesn't really make a difference

#

it only tells you what people prefer when they look at the response and it's style

#

that's it

formal fiber
#

I have one sincere question for an open discussion: When would Gemini be the optimal choice compared to alternatives like claude, o1 pro, 4o, o3, or 4.5, etc, etc?

The answer is simple...it isnt.

#

? Claude

formal fiber
#

Thinking

#

Depends on the task

novel flame
#

Gemini 2.5 Pro: When you like low cost and high speed and long context and almost the same performance

leaden meteor
#

V3 0324 is on leaderboard ! 1370 not bad...

#

2 tencent models and 1 nvidia model at 1300+ ....

torn mantle
#

so bad

rigid widget
rigid widget
novel flame
rigid widget
novel flame
#

my (hobby) task is, to create a

barren prairie
#

People were attacking me saying it is Impossible because the models are anonymous

#

But , I was able to identify each model from its answer and style ..

#

Probably , Elon paid some people who are able to identify chocolat Anonymously to vote for it

rigid widget
#

What about ChatGPT-latest? Do you really believe it's best coder?

rigid widget
#

So why it's in 1?

sudden marlin
timber kiln
rigid widget
timber kiln
#

Even if the arena was 100% tamper proof it wouldn't be very reliable as long as you can't filter. Barrier to vote is very low

keen fulcrum
#

I couldn’t find their homepage

barren prairie
rigid widget
eager mica
#

Truth being told, after a while you'll immediately recognize most models on the Arena even without them telling you their name.

rigid widget
#

But style control should be fixed

barren prairie
calm spear
#

do you like emojis in LLMs' responses generally? (I do)

novel flame
#

I am not convinced of that; Anthropic says it’s the same context window as regular 3.7, and at least when using it in Cline it has no problems with context (as the smaller-context models do)

barren prairie
rigid widget
#

I don't think style control really work

#

in the past it was working

timber kiln
# rigid widget But filtering comes with more problems

For a more reliable measure you need professional raters but people on that level will ask for a substantial pay. So we are stuck with crowdsource arenas (I am sure big companies do internal tests with experts but they won't release that)

rigid widget
#

but now it's nothing

timber kiln
#

Until that we need something like webdev arena but more comprehensive

calm spear
rigid widget
timber kiln
timber kiln
#

Webdev arena is visual and if the code is not working even a dumbass can notice

#

Leading to better measure of capability

calm spear
timber kiln
calm spear
timber kiln
#

When a normal guy asks something webdev arena model can show its capability better

timber kiln
#

But it shows the results better and raters can see the distinction between half working sh1tty stuff and fully working functional stuff

barren prairie
rigid widget
#

Should be a timer for selecting model

timber kiln
#

You are probably a minority if you run every code you ask and test the features rate the cleanliness of code check the efficiency etc

rigid widget
#

if responses longer it should be more time

timber kiln
#

One other problem is that people ask mostly generic stuff that closes the cap on capability too

rigid widget
rigid widget
calm spear
# rigid widget

I do not understand that question.

It is like "Do we need a good bus"

rigid widget
timber kiln
#

Categoriziation won't help

#

People still can ask questions they don't know the answer themselves harder questions will be even harder to rate

rigid widget
eager mica
#

What did they even feed cybele and cousins?

calm spear
calm spear
eager mica
#

That said, sometimes even the seemingly larger spider gets too engrossed in its own grandiose responses and misses the point of the questions.

calm spear
rigid widget
timber kiln
#

Cobalt is very mid?

eager mica
#

Yes. I believe it's Amazon Titan (haven't asked recently).

sterile dust
#

What is spider

#

Is it llama4?

eager mica
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Possibly the largest Llama 4 model currently being served, but it's not 100% clear.

sterile dust
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And, is spider supports picture?

eager mica
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The ones with image input on Chatbot Arena are different models, they feel like they are older and/or smaller checkpoints.

golden ocean
torn mantle
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obviously

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the only model that you should use rn is gemini 2.5 pro tbh

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nothing come close to it

neat apex
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Yes, that what i mean

torn mantle
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didnt get a single decent output from it

neat apex
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It is very responsive, but not that smart

torn mantle
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cyble/themis is somewhat okay

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acceptable

neat apex
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Spide is good, but just it xe

visual turret
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this is where your normally at

torn mantle
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but spider just randomly spout some hindi/japanese text for me

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randomly

torn mantle
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when did you join xd

visual turret
torn mantle
torn mantle
neat apex
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Making suggestions over anything

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Since it is quite responsive

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Not an gpt 4.5 or an Haiku 3.5, but it is good

golden ocean
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what does responsive mean in llm context

raven void
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Why isn't llamas other models as good as spider

visual turret
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moonhowler is gemini 2.5 flash

visual turret
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just said it was llama 3 and 8b

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llama 3.2 8b is already released so it only makes sense to think it is llama3.3 8b

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as llama 3.3 has no 8b model currently

visual turret
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so it most likely is also in testing

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you can't ask "are you gemini 2.5 pro non thinking?"

visual turret
golden ocean
novel flame
visual turret
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what is luca

upper wolf
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Wtf is that spacing

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β€œHigh - quality”

visual turret
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anonymous-chatbot is an openai model maybe 4o updated

quick flame
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are there any news about GPT-5?

visual turret
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that's is my opinion

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but they haven't been getting the results they want from gpt5

ocean vortex
# torn mantle nothing come close to it

that's not really true. Grok3 is still better for science, and on arc-agi-1 it's even beaten by R1. Spatial awareness is not bad though not industry leading so some stuff sonnet could do better too.

But overall I do agree that as an average of everything, it is probably the best currently

golden ocean
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openai fell off after pre nerf gpt-4 2023*

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gpt 4o downfall of openai

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(im not serious)

somber niche
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After some testing I'm not entirely convinced spider is actually a different size than the other models. It feels more verbose / creative, but I think that might be a training quirk rather than a different parameter size. It doesn't feel that much smarter when it comes to some of my programming questions

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In many cases it actually did a worse job than phoebe, themis and cybele

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I wouldn't be surprised if the ones last week are all the same size, and the ones this week are all the same size as well - since there does seem to be a substantial intelligence upgrade there

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There's also the original test models Meta deployed in November, though those were pretty terrible imo

raven void
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I agree the initial 4o was a downgrade

visual turret
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i can't get any more info from it

visual turret
golden ocean
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true, that image generation is pretty epic

misty vault
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But 4o cut costs for them or something

cedar tide
golden ocean
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no way

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Release 2023 bing chat gpt-4 pls

torn mantle
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how did you know that?

barren prairie
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About that a very very good model

golden ocean
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Spit it out @novel flame

rigid widget
# rigid widget
poll_question_text

Do you think spider is a base model or is a thinking model?

victor_answer_votes

6

total_votes

10

victor_answer_id

1

victor_answer_text

It's a base model

novel flame
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I just did some testing of what I would call "Creative coding" -- as in, "Solve this simple task in as many crazy ways as you can think of. Most distinct solutions wins, GO!". I have actually used a variation of this when interviewing human developers, in order to determine breadth of experience and creativity in a semi-quantifiable way.

I ran the same test on a bunch of the top coding models and found:

  • Top tier: The new (March 2025) GPT-4o, Gemini 2.5 Pro
  • Closely following: Claude 3.7 Sonnet, Claude 3.7 Sonnet (Thinking), Grok 3 Preview 02-24, DeepSeek R1, Qwen2.5-Max (Thinking)
  • A bit further behind: Grok 3, o3-Mini, Grok 2 1212, Amazon Nova Pro 1.0, DeepSeek V3 0324

(Note: I don't currently have access to Grok 3 Thinking)

This is not really a test of deeper coding ability, it's more of a vibe check; which models would I enjoy pair programming with more?

blazing rune
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If someone asks me who that's supposed to be, I swear I will jump off a cliff

golden ocean
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hitler?

blazing rune
golden ocean
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oh

blazing rune
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Ok, I'm gonna go jump off a cliff now

misty vault
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Who was it then

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Stailin? (I'm for real curious)

blazing rune
rigid widget
blazing rune
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I thought the repetition of "very good" and usage of "tremendous" made it obvious

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And the thing about China, he always has something against them

rigid widget
ancient reef
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plot twist: he's in japan celebrating april 1st

keen beacon
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Stuck on cloudflare

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fixed with refresh (brave)

slow spruce
# keen beacon

Give it a try again, it should work now with firefox πŸ™

keen beacon
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some of the models got the text update

rigid widget
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Hello guys

ancient reef
rigid widget
ancient reef
rigid widget
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@ancient reef your turn

eager mica
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New Llama model: venom

[screenshot of venom]

sterile dust
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What is 24_karat_gold?

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A new llama?

eager mica
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I haven't encountered it yet.

ancient reef
alpine coral
rigid widget
alpine coral
rigid widget
alpine coral
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gemini-2.5-pro non-thinking is not a google model; and it's bad at 'this things'..?

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i'm incredibly confused / don't think we're talking baout the same thing

rigid widget
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ah my eyes

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i saw (think) you replied hare

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the 24 karat gold model

keen beacon
rigid widget
alpine coral
rigid widget
alpine coral
# keen beacon Is moonhowler thinking? Phantom was afaik

i haven't got moonhowler. i don't recall phantom being obviously a thinking model (it was a bit all over the place).. so can't really say; but it was strong, though consistently not as performant as nebula (and i feel was introduced to the arena at around the same time).. hence just speculating it could possibily have been the non-thinking version

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and perhaps because it was so erratic in performance is why it got pulled from the arena (seemingly), and 2.5 Pro thinking has already been released.. counter-intuitive (would've thought the release sequence would be the other way round..) but who knows ha

alpine coral
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but not released is the short answer to your question afaik

keen beacon
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I recall I got phi 4 vs phantom and both were significantly delayed (so phantom was thinking)

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Anyway figuring out if moonhowler is thinking or not will narrow it down a lot I think

rigid widget
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it's like gemini2.5-flash or lite

keen beacon
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Hmm

rigid widget
eager mica
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panda is also a new Meta model.

[image redacted]

ancient reef
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I like panda

somber niche
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Another weekly batch it seems. Maybe another parameter size / model type?

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Gonna give it my usual questions and see how it does

rigid widget
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new model stradale

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I found something

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models can't get this question

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Where is my phone?

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very funny

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stradale is a very small model i guess

somber niche
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Here's Panda's attempt and uh, nope. It's the thought that counts I guess

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24_karat_gold told me it was a Meta model in one round and then that it was trained on Google's servers in another round

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So uh, take that as you will

eager mica
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spider also juggled between Meta and OpenAI, but mostly Meta.

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roma doesn't seem exceedingly smart.

somber niche
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Yeah I just tested roma, both code comprehension and writing are pretty atrocious

eager mica
ancient reef
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exp router and gemini thinking give 50004

eager mica
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stradale claims to be Llama.

[screenshot removed]

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24_karat_gold claims to be Llama, and like spider it's very verbose, totally unhinged (in a good way) and unabashed.

alpine coral
somber niche
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24_karat_gold is the first model to get my coding question right, it's pretty good

raven void
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24_karat_gold is llama 4 100b?

eager mica
sudden marlin
alpine coral
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i haven't looked into it for a while, but last time i did the conclusion i arrived at was that all input messages are truncated at precisely 12,000 characters (not tokens), regardless of model/s used or whether arena battle or direct chat

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but might've changed (or perhaps that conclusion was misplaced to begin with)

alpine coral
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i joke.. but it's not entirely inconceivable.. tbh i find it interesting how little attention gemma 3 27bn has gotten. it's doing incredibly well on the leaderboard* anyway (for such a small model, open weights too)
*without style control in ss

upper wolf
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24 karat is funny asf though i can’t lie

slate vapor
#

Anthropic Upgrades AI Safety Policies

  • Real-time Content Filtering System Immediately Intercepts Dangerous Commands
  • Asynchronous Monitoring System Conducts In-depth Analysis
  • Establishes Rapid Response Process for Jailbreak Attacks
    https://www.anthropic.com/rsp-updates

No, man, is it necessary to be this overly secure?