LLM API Pricing Calculator
Calculate the cost of using AI models with Helicone's free pricing tool.
What is the LLM API Pricing Calculator?
Our LLM API Pricing Calculator is a powerful tool designed to help you:
- Accurately estimate costs for your API usage across various providers and models
- Plan your budget more effectively
- Compare pricing across different models and providers
Using the latest pricing data directly from various AI providers, this calculator provides you with precise cost estimates for a wide range of LLM APIs.
Built and maintained by the Helicone team. This calculator is part of the largest fully open-source collection of LLM API pricing data, covering over 300+ models and growing.
Top benefits of the LLM API Pricing Calculator
Comprehensive model coverage
Easy comparison across providers
Up-to-date pricing information
Tips on using the LLM API Pricing Calculator
Compare multiple models
Use the calculator to compare costs across different models and providers to find the best fit for your needs.
Adjust token counts
Experiment with different input and output token counts to estimate costs for various use cases.
Consider your usage volume
Remember to factor in your expected usage volume when comparing costs across different providers.
API Access - Get LLM Cost Data Programmatically
Access the same pricing data used in this calculator programmatically through our API endpoint. Perfect for integrating cost calculations into your applications, scripts, or automated workflows.
Basic Usage
# Get all models with costs per 1 million tokens
curl "https://www.helicone.ai/api/llm-costs"
# Get costs for a specific provider
curl "https://www.helicone.ai/api/llm-costs?provider=openai"
# Search for models containing "gpt"
curl "https://www.helicone.ai/api/llm-costs?model=gpt"
# Combine filters
curl "https://www.helicone.ai/api/llm-costs?provider=anthropic&model=claude"Output Formats
# Get data as JSON (default)
curl "https://www.helicone.ai/api/llm-costs?provider=openai"
# Get data as CSV for spreadsheets
curl "https://www.helicone.ai/api/llm-costs?provider=openai&format=csv" \
--output llm-costs-per-1m.csvResponse Format
The API returns structured data with metadata and cost information:
{
"metadata": {
"total_models": 250,
"note": "All costs are per 1 million tokens unless otherwise specified",
"operators_explained": {
"equals": "Model name must match exactly",
"startsWith": "Model name must start with the specified value",
"includes": "Model name must contain the specified value"
}
},
"data": [
{
"provider": "OPENAI",
"model": "gpt-4",
"operator": "equals",
"input_cost_per_1m": 30.0,
"output_cost_per_1m": 60.0,
"show_in_playground": true
}
]
}Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| provider | string | - | Filter by exact provider name (e.g., "OPENAI", "ANTHROPIC") |
| model | string | - | Search models containing this text (e.g., "gpt", "claude") |
| format | string | json | Output format: "json" or "csv" |
Response Fields
| Field | Description |
|---|---|
| provider | Provider name (e.g., "OPENAI", "ANTHROPIC") |
| model | Model identifier |
| operator | How the model name matching works ("equals", "startsWith", "includes") |
| input_cost_per_1m | Cost per 1 million input tokens (USD) |
| output_cost_per_1m | Cost per 1 million output tokens (USD) |
| per_image | Cost per image (USD) - if applicable |
| per_call | Cost per API call (USD) - if applicable |
💡 Pro Tips
- All costs are per 1 million tokens, making it easy to calculate expenses
- Model operators help understand how model matching works
- Results are sorted by provider, then by model name
- Data comes directly from Helicone's production cost database
- API supports CORS for browser-based applications
- Use CSV format for easy import into spreadsheets
Contribute to the open-source LLM API pricing database
As an open-source project, we welcome contributions from the community to keep the pricing data accurate and up-to-date.
How to contribute:
- Visit our GitHub repository: Helicone Costs
- Follow the instructions in the README.md file to add or update cost data
- Submit a Pull Request with your changes
By contributing, you're helping to maintain the largest fully open-source collection of LLM API pricing data, covering over 300+ models and growing.