How can I calculate the pricing for OpenAI API?
#OpenAI API pricing
signal wolf
languid ospreyBOT
Hi @signal wolf. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
The pricing for the OpenAI API is based on several factors:
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Usage: You are billed for the usage of the API. This is typically calculated based on the number of tokens used in your API requests. Each model has a different cost per token. For example, for the gpt-3.5-turbo-1106 model, the cost is $0.0010 per 1K tokens for input and $0.0020 per 1K tokens for output. For the gpt-3.5-turbo model, the cost is $0.0015 per 1K tokens for input and $0.0020 per 1K tokens for output [source (https://community.openai.com/t/548748)].
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Billing Cycle: You'll be billed at the end of each calendar month for usage during that month unless the parties have agreed to a different billing arrangement in writing. Invoices are typically issued within two weeks of the end of the billing cycle [source (https://help.openai.com/en/articles/6640792-when-can-i-expect-to-receive-my-openai-api-invoice)].
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Prepaid Credits: The API is funded by credits that you prepay, which are still represented as the monetary amount you put in. The credits expire after 12 months. Then those credits would pay for API services, billed by the actual language data usage [source (https://community.openai.com/t/726886)].
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Separate Costs for Different Platforms: If you are using other OpenAI services like ChatGPT, note that the API usage is its own separate cost, as the API platform and the ChatGPT platform are two different platforms [source (https://help.openai.com/en/articles/8792828-what-is-chatgpt-team#h_1392977172)].
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Retrieval Pricing for Assistants: If you are using the Assistants feature, retrieval is priced at $0.20/GB per assistant per day. Each assistant incurs its own retrieval file storage fee based on the files passed to that assistant [source (https://community.openai.com/t/637726)].
For the most accurate and up-to-date information, please refer to the OpenAI Pricing Page (https://openai.com/pricing).
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
signal wolf
@languid osprey So say if I had 1000 messages per month at 750 words estimate the price per month
languid ospreyBOT
Let me check the knowledge base for you. One moment! :books:
To estimate the cost of using the OpenAI API, you need to convert your usage into tokens, as the API is billed on a per-token basis.
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Conversion to Tokens: Each token is roughly equivalent to 0.75 words. So, if you have 1000 messages each of 750 words, the total number of words is 750,000. To convert this to tokens, you divide by 0.75, which gives you approximately 1,000,000 tokens [source (https://platform.openai.com/docs/guides/production-best-practices)].
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Cost Calculation: The cost per token depends on the specific model you're using. For example, if you're using the gpt-3.5-turbo model, the cost is $0.006 per 1,000 tokens. So, for 1,000,000 tokens, the cost would be $6.00 [source (https://community.openai.com/t/498074)].
Please note that this is a rough estimate and the actual cost may vary. The actual number of tokens can be slightly more or less than this estimate due to the way text is tokenized. You can use OpenAI's tokenizer tool (https://platform.openai.com/tokenizer) to get a more accurate count of tokens for a given piece of text.
Also, remember that both input and output tokens count towards the total. So if your application also receives a similar amount of text from the API, you would need to double the cost.
For the most accurate and up-to-date information, please refer to the OpenAI Pricing Page (https://openai.com/pricing).
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
signal wolf
@languid osprey So say if I had 1000 messages per month at 750 words estimate the price per month. The gpt-3.5-turbo-0125 pricing is $0.50 /
1M tokens (Input) , $1.50 /
1M tokens (Output)
languid ospreyBOT
Let me check the knowledge base for you. One moment! :books:
To estimate the cost of using the OpenAI API with the gpt-3.5-turbo-0125 model, you need to convert your usage into tokens, as the API is billed on a per-token basis.
-
Conversion to Tokens: Each token is roughly equivalent to 0.75 words. So, if you have 1000 messages each of 750 words, the total number of words is 750,000. To convert this to tokens, you divide by 0.75, which gives you approximately 1,000,000 tokens [source (https://platform.openai.com/docs/guides/production-best-practices)].
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Cost Calculation: The cost per token for the
gpt-3.5-turbo-0125model is $0.50 per 1M tokens for input and $1.50 per 1M tokens for output. So, for 1,000,000 tokens, the cost would be $0.50 for input and $1.50 for output, totaling $2.00 [source (https://help.openai.com/en/articles/8555514-gpt-3-5-turbo-updates)].
Please note that this is a rough estimate and the actual cost may vary. The actual number of tokens can be slightly more or less than this estimate due to the way text is tokenized. You can use OpenAI's tokenizer tool (https://platform.openai.com/tokenizer) to get a more accurate count of tokens for a given piece of text.
Also, remember that both input and output tokens count towards the total. So if your application also receives a similar amount of text from the API, you would need to account for those tokens as well.
For the most accurate and up-to-date information, please refer to the OpenAI Pricing Page (https://openai.com/pricing).
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
signal wolf
@languid osprey so for 6000 messages that is 6$?
languid ospreyBOT
Let me check the knowledge base for you. One moment! :books:
If you're using the gpt-3.5-turbo-0125 model and each message is approximately 750 words, here's how you can calculate the cost:
-
Conversion to Tokens: Each token is roughly equivalent to 0.75 words. So, if you have 6000 messages each of 750 words, the total number of words is 4,500,000. To convert this to tokens, you divide by 0.75, which gives you approximately 6,000,000 tokens [source (https://platform.openai.com/docs/guides/production-best-practices)].
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Cost Calculation: The cost per token for the
gpt-3.5-turbo-0125model is $0.50 per 1M tokens for input and $1.50 per 1M tokens for output. So, for 6,000,000 tokens, the cost would be $3.00 for input and $9.00 for output, totaling $12.00 [source (https://help.openai.com/en/articles/8555514-gpt-3-5-turbo-updates)].
Please note that this is a rough estimate and the actual cost may vary. The actual number of tokens can be slightly more or less than this estimate due to the way text is tokenized. You can use OpenAI's tokenizer tool (https://platform.openai.com/tokenizer) to get a more accurate count of tokens for a given piece of text.
Also, remember that both input and output tokens count towards the total. So if your application also receives a similar amount of text from the API, you would need to account for those tokens as well.
For the most accurate and up-to-date information, please refer to the OpenAI Pricing Page (https://openai.com/pricing).
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
signal wolf
@languid osprey how much for 300 messages a month?
languid ospreyBOT
Let me check the knowledge base for you. One moment! :books:
If you're using the gpt-3.5-turbo-0125 model and each message is approximately 750 words, here's how you can calculate the cost:
-
Conversion to Tokens: Each token is roughly equivalent to 0.75 words. So, if you have 300 messages each of 750 words, the total number of words is 225,000. To convert this to tokens, you divide by 0.75, which gives you approximately 300,000 tokens [source (https://platform.openai.com/docs/guides/production-best-practices)].
-
Cost Calculation: The cost per token for the
gpt-3.5-turbo-0125model is $0.50 per 1M tokens for input and $1.50 per 1M tokens for output. So, for 300,000 tokens, the cost would be $0.15 for input and $0.45 for output, totaling $0.60 [source (https://help.openai.com/en/articles/8555514-gpt-3-5-turbo-updates)].
Please note that this is a rough estimate and the actual cost may vary. The actual number of tokens can be slightly more or less than this estimate due to the way text is tokenized. You can use OpenAI's tokenizer tool (https://platform.openai.com/tokenizer) to get a more accurate count of tokens for a given piece of text.
Also, remember that both input and output tokens count towards the total. So if your application also receives a similar amount of text from the API, you would need to account for those tokens as well.
For the most accurate and up-to-date information, please refer to the OpenAI Pricing Page (https://openai.com/pricing).
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
signal wolf
@languid osprey Chat Completion Price
languid ospreyBOT
Let me check the knowledge base for you. One moment! :books:
The cost of using the Chat Completion API depends on the specific model you're using and the number of tokens processed. Each model has a different cost per token. For example, for the gpt-3.5-turbo-0125 model, the cost is $0.50 per 1M tokens for input and $1.50 per 1M tokens for output [source (https://help.openai.com/en/articles/8555514-gpt-3-5-turbo-updates)].
Remember that both input and output tokens count towards the total. So if your application also receives a similar amount of text from the API, you would need to account for those tokens as well.
To get a more accurate count of tokens for a given piece of text, you can use OpenAI's tokenizer tool (https://platform.openai.com/tokenizer).
Please note that the API usage is its own separate cost, as the API platform and the ChatGPT platform are two different platforms [source (https://help.openai.com/en/articles/8792828-what-is-chatgpt-team#h_1392977172)].
For the most accurate and up-to-date information, please refer to the OpenAI Pricing Page (https://openai.com/pricing).
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
signal wolf
@languid osprey What is Create a Completion (GPT-3, GPT-3.5, GPT-4)
languid ospreyBOT
Let me check the knowledge base for you. One moment! :books:
Creating a Completion with GPT-3, GPT-3.5, or GPT-4 involves using OpenAI's API to generate text based on a given prompt. This is often used for tasks such as content generation, language translation, and conversational AI.
Here's a general process:
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Choose the Model: First, you need to choose which model you want to use. OpenAI offers several models, including GPT-3, GPT-3.5 Turbo, and GPT-4. Each model has different capabilities and use cases. For example, GPT-4 is the most capable model, great for tasks that require creativity and advanced reasoning [source (https://help.openai.com/en/articles/7864572-what-is-the-chatgpt-plus-model-selector#h_5474af13dc)].
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Use the API: You can use OpenAI's API to create a completion. This typically involves sending a POST request to the API endpoint with your prompt and any other parameters you want to set. The API will return a response with the generated text.
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Fine-Tuning: If you want to tailor the model's behavior more closely to your needs, you can use fine-tuning. Fine-tuning is available for
gpt-3.5-turbo[source (https://help.openai.com/en/articles/7232945-how-can-i-use-the-chat-completion-chatgpt-api)]. -
Custom Versions (GPTs): You can also create custom versions of ChatGPT (GPTs) that are tailored for specific tasks or topics by combining instructions, knowledge, and capabilities. This can be done through a simple UI [source (https://help.openai.com/en/articles/8554397-creating-a-gpt)].