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codestral-embed Cost Calculator - Mistral

Calculate the cost of using codestral-embed from Mistral for your AI applications

codestral-embed Cost Calculator

Mode: Embedding

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00015000
Total Cost$0.00015000

Pricing Details

Input: $0.0000001500 per token
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Model Specifications

Limits

Max Input Tokens8,192
Max Tokens8,192

About codestral-embed

codestral-embed is a powerful embedding AI model offered by Mistral. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using codestral-embed in your development applications.

Pricing Information

Input Cost$0.15 per 1M tokens

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

Technical Specifications

Maximum Input Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,192 input tokens.

When should you use codestral-embed?

codestral-embed is best suited for the following scenarios:

  • Code generation and completion
  • Bug fixing and refactoring
  • Developer tooling and IDE assistants
  • Semantic search and similarity matching
  • RAG pipelines and vector databases
  • Document clustering and recommendations
When should you avoid codestral-embed?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
  • Very large documents or long conversational histories
  • General-purpose text generation or conversational AI
  • Creative writing or content generation tasks
  • Non-technical content generation or general-purpose chat
  • Creative writing or marketing copy generation
How does codestral-embed compare to similar models?

This model offers competitive input token pricing, making it cost-effective for applications that require extensive context or frequent input processing.

Understanding codestral-embed pricing
  • codestral-embed is a embedding and vector search model provided by Mistral.
  • Input tokens are priced at $0.15 per 1M tokens.
  • The model supports a maximum input capacity of 8,192 tokens.
  • Mistral offers codestral-embed for embedding and vector search workloads — code generation, code completion, debugging, and software development tasks.

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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