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mistral-large Cost Calculator - IBM watsonx

Calculate the cost of using mistral-large from IBM watsonx for your AI applications

mistral-large Cost Calculator

Mode: Chat

Max: 131,072 tokens

Max: 16,384 tokens

Cost Breakdown

Input Cost$0.003000
Output Cost$0.010000
Total Cost$0.013000

Pricing Details

Input: $0.00000300 per token
Output: $0.00001000 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens131,072
Max Output Tokens16,384
Max Tokens16,384

About mistral-large

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

Pricing Information

Input Cost$3.00 per 1M tokens
Output Cost$10.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens16,384
Maximum Total Tokens16,384

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 16,384 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Prompt Caching - Optimize repeated prompts
✓System Messages - Configure model behavior
✓Response Schema - Structured output formatting
When should you use mistral-large?

mistral-large 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
When should you avoid mistral-large?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does mistral-large 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 mistral-large pricing
  • mistral-large is a general-purpose AI model provided by IBM watsonx.
  • Input tokens are priced at $3.00 per 1M tokens.
  • Output tokens are priced at $10.00 per 1M tokens.
  • The model supports a maximum input capacity of 131,072 tokens.
  • Maximum output length is 16,384 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • Supports function calling for executing custom functions and tools.
  • Features prompt caching to optimize costs for repeated prompts.
  • IBM watsonx offers mistral-large 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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mistral-large Cost Calculator - IBM watsonx | Bifrost