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claude-3.7-sonnet Cost Calculator - OpenRouter

Calculate the cost of using claude-3.7-sonnet from OpenRouter for your AI applications

claude-3.7-sonnet Cost Calculator

Mode: Chat

Max: 200,000 tokens

Max: 128,000 tokens

Cost Breakdown

Input Cost$0.003000
Output Cost$0.015000
Image Cost$0.004800
Total Cost$0.022800

Pricing Details

Input: $0.00000300 per token
Output: $0.00001500 per token
Input Image: $0.004800 per image
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning

Limits

Max Input Tokens200,000
Max Output Tokens128,000
Max Tokens128,000

About claude-3.7-sonnet

claude-3.7-sonnet is a powerful chat AI model offered by OpenRouter. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using claude-3.7-sonnet in your applications.

Pricing Information

Input Cost$3.00 per 1M tokens
Output Cost$15.00 per 1M tokens
Image Input Cost$0.0048 per image

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens200,000
Maximum Output Tokens128,000
Maximum Total Tokens128,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 200,000 input tokens. The maximum output length is 128,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Advanced Reasoning - Complex problem-solving capabilities
When should you use claude-3.7-sonnet?

claude-3.7-sonnet is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
  • Multimodal applications requiring image or audio processing
  • Content analysis across multiple media types
  • Complex problem-solving and multi-step reasoning tasks
  • Planning and strategic decision-making applications
When should you avoid claude-3.7-sonnet?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
How does claude-3.7-sonnet compare to similar models?

This model supports a larger context window than many alternatives, making it suitable for long-form inputs and memory-intensive applications.

Understanding claude-3.7-sonnet pricing
  • claude-3.7-sonnet is a general-purpose AI model provided by OpenRouter.
  • Input tokens are priced at $3.00 per 1M tokens.
  • Output tokens are priced at $15.00 per 1M tokens.
  • Image input is priced at $0.0048 per image.
  • The model supports a maximum input capacity of 200,000 tokens.
  • Maximum output length is 128,000 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • The model includes vision capabilities for processing and analysing images.
  • Supports function calling for executing custom functions and tools.
  • Features advanced reasoning capabilities for complex problem-solving tasks.
  • OpenRouter offers claude-3.7-sonnet for general-purpose AI workloads — general-purpose AI workloads.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.

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