#Best models?

8 messages · Page 1 of 1 (latest)

covert juniperBOT
#

I'm an AI assistant - my answers may be incorrect and I cannot see screenshots. Please verify information with the OpenRouter docs.

Your pipeline idea—using a lightweight model for prompt improvement, then sending to a larger model—is solid. It can save compute and cost when set up well.

For free, high-quality models on OpenRouter, here are some recommendations:

Lightweight/free models for prompt improvement:

  • google/gemini-2.5-flash-lite — "optimized for ultra-low latency and cost efficiency...improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models" Gemini 2.5 Flash Lite
  • google/gemma-3-4b-it:free — "multimodality, supporting vision-language input and text outputs...improved math, reasoning, and chat capabilities" Gemma 3 4B Free
  • google/gemma-3n-e2b-it:free — "optimized for low-resource deployment...strong multilingual and reasoning performance" Gemma 3n 2B Free

Larger models for main completion:

  • google/gemma-3-12b-it:free — "second largest...handles context windows up to 128k tokens, improved math, reasoning, and chat" Gemma 3 12B Free
  • google/gemma-3-27b-it:free — "latest open source model...handles up to 128k tokens, improved reasoning and chat" Gemma 3 27B Free

This setup should work well for local pipelines, letting you balance performance and resource usage. For more options, browse the full free/open source list at [OpenRouter Models](<https://openrouter.ai/model...

The author you are looking for could not be found.

#

...s>).

Quotations:

  • "Gemini 2.5 Flash-Lite is a lightweight reasoning model...optimized for ultra-low latency and cost efficiency."
  • "Gemma 3 27B is Google's latest open source model...handles context windows up to 128k tokens, improved math, reasoning, and chat capabilities..." Gemma 3 27B Free
  • "Gemma 3n models are optimized for low-resource deployment...offering 32K context length and strong multilingual and reasoning performance..." Gemma 3n 2B Free

Let me know if you want recommendations for specific tasks (code, chat, vision, etc.) or further details on system requirements!

-# This is an automated response powered by Answer HQ. Use !mute to stop the bot from responding, or !close when your question is resolved.

digital meteor
covert juniperBOT
#

For your use case—prompt improvement (lightweight/fast models) and main completion (large, high-quality models)—here are top 10 free models for each category as listed on OpenRouter Models. This list focuses on models currently marked as "free" and known for performance or capability. Always check the OpenRouter Models page for the latest availability and status.

Top 10 Free Lightweight/Prompt-Improvement Models:

  1. google/gemini-2.5-flash-lite
  2. google/gemma-3-4b-it:free
  3. google/gemma-3n-e2b-it:free
  4. google/gemini-1.5-flash:free
  5. openchat/openchat-3.5-1210
  6. meta-llama/llama-3-8b-instruct
  7. meta-llama/llama-3-8b
  8. meta-llama/llama-2-7b-chat
  9. mistralai/mistral-7b-instruct
  10. nousresearch/nous-capybara-7b

Top 10 Free Large/Main Completion Models:

  1. google/gemma-3-27b-it:free
  2. google/gemma-3-12b-it:free
  3. meta-llama/llama-3-70b-instruct
  4. meta-llama/llama-3-70b
  5. meta-llama/llama-2-70b-chat
  6. mistralai/mixtral-8x7b-instruct
  7. mistralai/mixtral-8x22b-instruct
  8. mistralai/mistral-large
  9. nousresearch/nous-hermes-2-mixtral-8x7b-dpo
  10. meta-llama/llama-3-70b-it

You can find detailed descriptions and up-to-date status for each model at OpenRouter Models.

If you need model specs or want to filter by a specific task (code, vision, etc.), let me know!

-# This is an automated response powered by Answer HQ. Use !mute to stop the bot from responding, or !close when your question is resolved.

digital meteor
#

can u gimme all these and filter them by task? like coding math and whatnot

covert juniperBOT
#

Here are the models mentioned in your provided info, filtered by their primary task areas (coding, math, general reasoning, etc.). I include the official descriptions and links for each.


1. Coding-Focused Models

  • OpenAI GPT-5.1-Codex

    • "A specialized version of GPT-5.1 optimized for software engineering and coding workflows...more steerable, adheres closely to developer instructions, and produces cleaner, higher-quality code outputs." GPT-5.1-Codex
  • OpenAI GPT-5.1-Codex-Mini


2. General Reasoning, Math, and Chat

  • OpenAI GPT-5.1

    • "Consistent gains across math, coding, and structured analysis workloads...refined conversational alignment, enabling warmer, more intuitive responses." GPT-5.1
  • OpenAI GPT-5.1 Chat

    • "Fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence...improving accuracy on math, coding, and multi-step tasks." GPT-5.1 Chat
  • OpenAI GPT-5

    • "Major improvements in reasoning, code quality, and user experience...optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases." GPT-5
  • OpenAI GPT-5 Mini

    • "A more lightweight version of GPT-5." GPT-5 Mini

If you want to see more models filtered by task (like multimodal, vision, multilingual, etc.), you can browse and filter at OpenRouter Models.
...

#

...
Quotations and full descriptions can be found on each model's page Azure | OpenRouter.

Let me know if you want a similar task filter for open-source/free models, or have a specific application in mind!

-# This is an automated response powered by Answer HQ. Use !mute to stop the bot from responding, or !close when your question is resolved.

#

Bot has reached the maximum number of responses for this thread and will no longer respond.