#Why am i out of "quota" (error 429) when i have a free account and using gpt-3.5-turbo

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pulsar canyon
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Why am i out of "quota" (error 429) when i have a free account and using gpt-3.5-turbo

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Hi @pulsar canyon. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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The error code 429, "You exceeded your current quota", typically indicates that you have run out of credits or hit your maximum monthly spend on your OpenAI account. This can occur even if you are using a free account or the gpt-3.5-turbo model.

There are a few potential reasons for this:

  1. You may have exceeded the rate limits for the model you are using. For example, the rate limit for gpt-3.5-turbo is 40,000 tokens per minute (TPM), 3 requests per minute (RPM), 200 requests per day (RPD), or 200,000 tokens per day (TPD). If you exceed these limits, you may encounter a 429 error.

  2. If you have recently transitioned from a free plan to a paid plan, you may need to generate a new API key for your account.

  3. There may be an issue with your billing or account settings. You should check your account's usage page and billing details to ensure that you have enough credits and that your billing information is correct.

If you continue to encounter this error, you may need to buy more credits (https://platform.openai.com/account/billing) or increase your limits (https://platform.openai.com/account/limits).

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@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
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How much do i need to spend to use a bit more like GPT-4o or whatever is cheapest @pale arrow

pale arrowBOT
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Let me check the knowledge base for you. One moment! :books:

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To use GPT-4o or GPT-4o mini, you need to have an OpenAI API account and make a successful payment of $5 or more. This will allow you to access the GPT-4, GPT-4 Turbo, GPT-4o models via the OpenAI API.

The cost for using these models is as follows:

  • GPT-4o: The input cost is $5 per 1M tokens and the output cost is $15 per 1M tokens.
  • GPT-4o mini: The input cost is $0.15 per 1M tokens and the output cost is $0.60 per 1M tokens.

If you want to fine-tune these models, GPT-4o mini is free to fine-tune starting today through September 23, 2024. Each organization will get 2M tokens per 24 hour period to train the model and any overage will be charged at $3.00/1M tokens.

Please note that these costs are for the usage of the models and do not include any additional costs that may be incurred for data storage, network usage, or other cloud services.

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@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
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@pale arrow To use GPT-4o mini i need to spend 5$ for next tier then 0.15$ for snending and $0.60 for a message back meaning i need to spend $5.75 a month. and what is a token

pale arrowBOT
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Let me check the knowledge base for you. One moment! :books:

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Yes, you're correct that you need to make a successful payment of $5 or more to access the GPT-4o mini model. After that, the cost for using GPT-4o mini is $0.15 per 1M tokens for input and $0.60 per 1M tokens for output.

A token in the context of OpenAI's models is a unit of text. In English, a token can be as short as one character or as long as one word. For example, the sentence "ChatGPT is great!" is encoded into six tokens: ["Chat", "G", "PT", " is", " great", "!"]. The number of tokens in an API call affects the cost, how long the API call takes, and whether the call works at all based on the maximum limit of tokens the model can handle.

So, the cost you mentioned ($0.15 for sending and $0.60 for a message back) is per 1M tokens. Depending on the length and complexity of your messages, you might not reach this token limit in a month.

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@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
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For a discord chatbot server how many messages/words would that be on average @pale arrow

pale arrowBOT
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Let me check the knowledge base for you. One moment! :books:

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The number of messages or words that can be processed by the GPT-4o mini model for a Discord chatbot server depends on the token limit and the average length of the messages.

As a rough rule of thumb, 1 token is approximately 4 characters or 0.75 words for English text. So, if you're paying for 1M tokens, you can roughly estimate that to be about 750,000 words or 4M characters.

However, keep in mind that both input and output tokens count toward these quantities. For example, if your API call used 10 tokens in the message input and you received 20 tokens in the message output, you would be billed for 30 tokens.

Also, the complexity and length of the messages can affect the number of tokens. For example, the string "ChatGPT is great!" is encoded into six tokens: ["Chat", "G", "PT", " is", " great", "!"].

So, the exact number of messages or words that can be processed for a Discord chatbot server can vary based on these factors.

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pulsar canyon
#

And do i get billed for input and output differently so 1M input is only .60 but what the AI sends back is .60$ @pale arrow

pale arrowBOT
#

Let me check the knowledge base for you. One moment! :books:

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Yes, you're correct. With the GPT-4o mini model, you are billed separately for input and output tokens. The cost is $0.15 per 1M tokens for input and $0.60 per 1M tokens for output.

This means that if you send a message to the AI (input) that consists of 1M tokens, you would be charged $0.15. Then, if the AI sends back a message (output) that also consists of 1M tokens, you would be charged an additional $0.60. So, the total cost for that interaction would be $0.75.

Remember that both the message you send to the AI and the message you receive from the AI count towards these token quantities.

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#

@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
#

@pale arrow So how do i upgrade to use gpt-4o mini

pale arrowBOT
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Let me check the knowledge base for you. One moment! :books:

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To upgrade your account and start using GPT-4o mini, you need to follow these steps:

  1. Log in to your OpenAI account.
  2. Navigate to the billing section of your account settings.
  3. Make a successful payment of $5 or more. This will upgrade your account and allow you to access the GPT-4o mini model.

After upgrading your account, you can use GPT-4o mini by specifying it as the model in your API calls. For example, in Python, you would do something like this:

import openai

openai.api_key = 'your-api-key'

response = openai.ChatCompletion.create(
  model="gpt-4o-mini",
  messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who won the world series in 2020?"},
    ]
)

Please replace 'your-api-key' with your actual API key.

Remember to install or upgrade the OpenAI Python client to the latest version:

%pip install --upgrade openai

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#

@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
#

Do i need to spend the 5$ every month @pale arrow

pale arrowBOT
#

Let me check the knowledge base for you. One moment! :books:

#

The $5 payment is not a monthly subscription but a one-time payment to unlock access to the GPT-4, GPT-4 Turbo, GPT-4o models via the OpenAI API. Once you've made this payment, you'll only be charged based on your usage of the models.

The cost for using the models is based on the number of tokens processed for both input and output. For GPT-4o mini, the cost is $0.15 per 1M tokens for input and $0.60 per 1M tokens for output.

So, your ongoing costs will depend on how much you use the models, not on a monthly subscription fee.

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#

@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
#

So if i spend the $5 and never use the AI will it never charge me @pale arrow

pale arrowBOT
#

Let me check the knowledge base for you. One moment! :books:

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Yes, that's correct. If you make the $5 payment to unlock access to the GPT-4o mini model and then never use the model, you will not incur any additional charges. OpenAI charges based on usage, specifically the number of tokens processed for both input and output. If you don't use the model, no tokens are processed, so there are no usage charges.

However, please note that the initial $5 payment is non-refundable. So, even if you don't use the model, you won't get that $5 back.

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@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
#

And can i use the API like 15 time per min @pale arrow

pale arrowBOT
#

Let me check the knowledge base for you. One moment! :books:

#

The number of times you can use the API per minute depends on the rate limits set by OpenAI for the specific model you're using.

For example, the rate limit for the GPT-3.5-turbo model is 60 requests per minute (RPM). If you're using this model, you can certainly make 15 API calls per minute, as it's within the limit.

However, if you're using a different model, the rate limit might be different. You should check the rate limits for the specific model you're using in the OpenAI documentation or in your OpenAI account settings.

Also, keep in mind that rate limits are enforced at the organization level and at the project level, not at the user level. So, if you have multiple projects or users under the same organization, they will share the same rate limit.

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@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
#

No for the gpt-4o mini model @pale arrow

pale arrowBOT
#

Let me check the knowledge base for you. One moment! :books:

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The rate limits for the GPT-4o mini model are not explicitly mentioned in the provided knowledge sources. However, OpenAI typically sets rate limits for each of its models to ensure fair usage. These limits can vary based on the model and the type of user (free, pay-as-you-go, etc.).

To find the specific rate limits for the GPT-4o mini model, you should check the OpenAI documentation or the settings of your OpenAI account. If you're exceeding these limits, you may need to adjust your usage or contact OpenAI to request an increase in your rate limits.

Remember, exceeding the rate limits can result in a 429 error ("You exceeded your current quota").

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@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
#

@pale arrow can i send you a pic

pale arrowBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Yes, with the recent updates to OpenAI's models, you can now send images to the AI. This is possible with models like GPT-4o, which support image inputs. You can create messages with image files and URLs.

To get started, you can use the OpenAI API to create a message with an image. Here's an example of how you might do this:

import openai

openai.api_key = 'your-api-key'

response = openai.ChatCompletion.create(
  model="gpt-4o",
  messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": {"type": "image", "data": "base64-encoded-image-data"}},
    ]
)

Please replace 'your-api-key' and 'base64-encoded-image-data' with your actual API key and the base64-encoded data of your image.

Remember to install or upgrade the OpenAI Python client to the latest version:

%pip install --upgrade openai

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#

@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
#

@pale arrow will this work

image.png
pale arrowBOT
#

Let me check the knowledge base for you. One moment! :books:

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I'm sorry, but I can't provide a helpful answer without more context. Could you please provide more details or clarify your question?

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@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
#

@pale arrow can you go to links

pale arrowBOT
#

Let me check the knowledge base for you. One moment! :books:

#

No, OpenAI's models, including GPT-3 and GPT-4o, cannot access or retrieve information from the internet in real-time. This means they can't visit or interact with URLs or webpages, fetch current data, or pull in information beyond what they were trained on. They generate responses based on a mixture of licensed data, data created by human trainers, and publicly available data.

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@pulsar canyon kapa.ai is still learning and improving, please let us know how it did by reacting below

pulsar canyon
#

@pale arrow for the api is the prompt (system content) included in the input token

pale arrowBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Yes, the prompt, also referred to as "system content" in the context of a chat model, is included in the input token count. This means that when you're calculating the number of tokens used in an API call, you need to include the tokens in the prompt.

For example, if you're using the OpenAI API to generate a response to a prompt, both the tokens in the prompt and the tokens in the generated response count toward the total number of tokens used in the API call.

Here's an example of how you might use a prompt with the OpenAI API:

import openai

openai.api_key = 'your-api-key'

response = openai.ChatCompletion.create(
  model="gpt-4o",
  messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who won the world series in 2020?"},
    ]
)

In this example, the tokens in the system message ("You are a helpful assistant.") and the user message ("Who won the world series in 2020?") would both count toward the total number of input tokens.

Sources:

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