openai-cost-calculator
openai-cost-calculator
is a reliable npm module that provides cost calculations for various AI models offered by OpenAI. Pricing is maintained regularly to stay on top of OpenAI's pricing changes. Whether you need to calculate costs for OpenAI Language Models, Fine Tuning Models, Embedding Models, Image Models, or Audio Models, this module has got you covered.
Installation
Using npm:
npm install openai-cost-calculator
Using yarn:
yarn add openai-cost-calculator
Importing
CommonJS:
const costCalculator = require('openai-cost-calculator');
ES6:
import * as costCalculator from 'openai-cost-calculator';
Functions
1. calculateLanguageModelCost
Usage:
const cost = costCalculator.calculateLanguageModelCost('gpt-4', { promptTokens: 5000, completionTokens: 10000 });
console.log(cost);
Example Output:
{
"promptCost": 0.15,
"completionCost": 0.3,
"totalCost": 0.45,
"formattedTotalCost": "$0.45"
}
Combining openai-gpt-token-counter with openai-cost-calculator
You can combine the openai-gpt-token-counter
module with this one to estimate the cost of processing text using a specific OpenAI model.
Before we begin, make sure that you have openai-gpt-token-counter
installed. If not, you can install it using npm:
npm install openai-gpt-token-counter
Usage
const tokenCounter = require('openai-gpt-token-counter');
const costCalculator = require('openai-cost-calculator');
const messages = [
{ role: "user", content: "This is a test prompt to test out the cost calculation functionality of openai-cost-calculator" },
];
const model = "gpt-4";
const tokenCount = tokenCounter.chat(messages, model);
console.log(`Token count: ${tokenCount}`);
const cost = costCalculator.calculateLanguageModelCost(model, { promptTokens: tokenCount });
console.log(`Processing cost: ${cost.formattedTotalCost}`);
This script first counts the number of tokens in a text for a specific OpenAI model using the openai-gpt-token-counter
module. Then, it calculates the cost of processing these tokens using the openai-cost-calculator
module. The result is the estimated cost of processing your text with the chosen OpenAI model.
Remember to replace "This is a test sentence."
with your text and "gpt-4"
with your desired OpenAI model. You can use any model supported by openai-gpt-token-counter
and openai-cost-calculator
.
With this approach, you can estimate the cost of using OpenAI models in your projects and ensure that you stay within your budget.
2. calculateFineTuningModelCost
Usage:
const cost = costCalculator.calculateFineTuningModelCost('ada', 10000, 'Training');
console.log(cost);
Example Output:
{
"totalCost": 0.004,
"formattedTotalCost": "$0.004"
}
3. calculateEmbeddingModelCost
Usage:
const cost = costCalculator.calculateEmbeddingModelCost('ada', 10000);
console.log(cost);
Example Output:
{
"totalCost": 0.001,
"formattedTotalCost": "$0.001"
}
4. calculateImageModelCost
Usage:
const cost = costCalculator.calculateImageModelCost('512x512', 1);
console.log(cost);
Example Output:
{
"totalCost": 0.36,
"formattedTotalCost": "$0.36"
}
5. calculateAudioModelCost
Usage:
const cost = costCalculator.calculateAudioModelCost('whisper-1', 60);
console.log(cost);
Example Output:
{
"totalCost": 0.36,
"formattedTotalCost": "$0.36"
}
Available Models
This library supports a wide range of models:
- Language Models: gpt-4, gpt-4-0314, gpt-4-0613, gpt-3.5-turbo, etc. (all models)
- Fine Tuning Models: ada, babbage, curie, davinci
- Embedding Models: ada
- Image Models: Resolution(1024x1024, 512x512, 256x256)
- Audio Models: whisper-1
Contributions
Contributions to improve openai-cost-calculator
are more than welcome. Feel free to submit a pull request or report an issue on our GitHub repository.