| Name | openai-pricing JSON |
| Version |
1.1.3
JSON |
| download |
| home_page | |
| Summary | Easily check the current costs of OpenAI's GPT and ChatGPT models. |
| upload_time | 2023-06-30 01:43:46 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | |
| keywords |
openai
chat gpt
pricing
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
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|
# openai-pricing
================
This repository hosts an unofficial library for OpenAI pricing calculations. Its purpose is to simplify the prediction of costs when using GPT models. The data is obtained from https://gptforwork.com/tools/openai-chatgpt-api-pricing-calculator.
## Library usage
-----------------
The module provides just one class, `OpneAIPricing`, which loads the pricing data when instanced and answers about max tokens and costs per tokens (prompt and completion tokens).
Currently, it supports the following models:
- GPT-4 32k
- GPT-4
- GPT-3.5 16k
- GPT-3.5
- Davinci
- Curie
- Babbage
- Ada
This list can be obtained by calling `OpenAIPricing.list_available_models()`.
### Example
-----------
```shell
from openai_pricing import OpenAIPricing
p = OpenAIPricing()
p.list_available_models()
model = 'gpt-4-32k'
tokens = 1000 # default value for tokens is 1000
model_name = p.model_name(model) # get model name
max_tokens = p.get_max_tokens(model) # get the max tokens for a model
price_prompt = p.get_price(model, type='prompt', tokens=1000) # get the current price per 1,000 tokens in prompt
price_completion = p.get_price(model, type='completion', tokens=1000) # get the current price per 1,000 tokens in completion
print('The model', model_name)
print('accepts up to', max_tokens,'tokens.')
print('It costs $', price_prompt,'per 1,000 prompt tokens')
print('and $', price_completion, 'per 1,000 completion tokens.')
# Get an average price per requests with "p.get_price(model, type='both')". "both" is the default value for the "type" argument and 1000 is the default value for the "tokens" argument.
print('The average value for request is', p.get_price(model, type='both'),'per 1,000 tokens (500 tokens in prompt and 500 pormpt in completion.')
```
Output:
```shell
+--------------+-------------------+
| Model name | Technical name |
|--------------+-------------------|
| GPT-4 32k | gpt-4-32k |
| GPT-4 | gpt-4 |
| GPT-3.5 16k | gpt-3.5-turbo-16k |
| GPT-3.5 | gpt-3.5-turbo |
| Davinci | text-davinci-003 |
| Curie | text-curie-001 |
| Babbage | text-babbage-001 |
| Ada | text-ada-001 |
+--------------+-------------------+
The model GPT-4 32k
accepts up to 32768 tokens.
It costs $ 0.06 per 1,000 prompt tokens
and $ 0.12 per 1,000 completion tokens.
The average value for request is 0.09 per 1,000 tokens (500 tokens in prompt and 500 pormpt in completion.
```
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"description": "# openai-pricing\r\n================\r\n\r\nThis repository hosts an unofficial library for OpenAI pricing calculations. Its purpose is to simplify the prediction of costs when using GPT models. The data is obtained from https://gptforwork.com/tools/openai-chatgpt-api-pricing-calculator.\r\n\r\n## Library usage\r\n-----------------\r\n\r\nThe module provides just one class, `OpneAIPricing`, which loads the pricing data when instanced and answers about max tokens and costs per tokens (prompt and completion tokens).\r\n\r\nCurrently, it supports the following models:\r\n\r\n- GPT-4 32k\r\n- GPT-4\r\n- GPT-3.5 16k\r\n- GPT-3.5\r\n- Davinci\r\n- Curie\r\n- Babbage\r\n- Ada\r\n\r\nThis list can be obtained by calling `OpenAIPricing.list_available_models()`.\r\n\r\n### Example\r\n-----------\r\n\r\n```shell\r\nfrom openai_pricing import OpenAIPricing\r\n\r\np = OpenAIPricing()\r\n\r\np.list_available_models()\r\n\r\n\r\nmodel = 'gpt-4-32k'\r\ntokens = 1000 # default value for tokens is 1000 \r\n\r\n\r\nmodel_name = p.model_name(model) # get model name\r\n\r\nmax_tokens = p.get_max_tokens(model) # get the max tokens for a model \r\n\r\nprice_prompt = p.get_price(model, type='prompt', tokens=1000) # get the current price per 1,000 tokens in prompt \r\n\r\nprice_completion = p.get_price(model, type='completion', tokens=1000) # get the current price per 1,000 tokens in completion \r\n\r\n\r\nprint('The model', model_name)\r\n\r\nprint('accepts up to', max_tokens,'tokens.')\r\n\r\nprint('It costs $', price_prompt,'per 1,000 prompt tokens')\r\n\r\nprint('and $', price_completion, 'per 1,000 completion tokens.')\r\n\r\n# Get an average price per requests with \"p.get_price(model, type='both')\". \"both\" is the default value for the \"type\" argument and 1000 is the default value for the \"tokens\" argument.\r\nprint('The average value for request is', p.get_price(model, type='both'),'per 1,000 tokens (500 tokens in prompt and 500 pormpt in completion.')\r\n```\r\n\r\nOutput:\r\n\r\n```shell\r\n+--------------+-------------------+\r\n| Model name | Technical name |\r\n|--------------+-------------------|\r\n| GPT-4 32k | gpt-4-32k |\r\n| GPT-4 | gpt-4 |\r\n| GPT-3.5 16k | gpt-3.5-turbo-16k |\r\n| GPT-3.5 | gpt-3.5-turbo |\r\n| Davinci | text-davinci-003 |\r\n| Curie | text-curie-001 |\r\n| Babbage | text-babbage-001 |\r\n| Ada | text-ada-001 |\r\n+--------------+-------------------+\r\nThe model GPT-4 32k\r\naccepts up to 32768 tokens.\r\nIt costs $ 0.06 per 1,000 prompt tokens\r\nand $ 0.12 per 1,000 completion tokens.\r\nThe average value for request is 0.09 per 1,000 tokens (500 tokens in prompt and 500 pormpt in completion.\r\n```\r\n\r\n",
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