UPDATES
Try Bifrost Enterprise free for 14 days.
Explore now

magistral-small-latest Cost Calculator - Mistral

Calculate the cost of using magistral-small-latest from Mistral for your AI applications

magistral-small-latest Cost Calculator

Mode: Chat

Max: 40,000 tokens

Max: 40,000 tokens

Cost Breakdown

Input Cost$0.00050000
Output Cost$0.001500
Total Cost$0.002000

Pricing Details

Input: $0.0000005000 per token
Output: $0.00000150 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Book a Demo
or, Get started here

Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens40,000
Max Output Tokens40,000
Max Tokens40,000

About magistral-small-latest

magistral-small-latest is a powerful chat 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 magistral-small-latest in your applications.

Pricing Information

Input Cost$0.50 per 1M tokens
Output Cost$1.50 per 1M tokens

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

Technical Specifications

Maximum Input Tokens40,000
Maximum Output Tokens40,000
Maximum Total Tokens40,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 40,000 input tokens. The maximum output length is 40,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Advanced Reasoning - Complex problem-solving capabilities
✓Response Schema - Structured output formatting
When should you use magistral-small-latest?

magistral-small-latest is best suited for the following scenarios:

  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
  • Complex problem-solving and multi-step reasoning tasks
  • Planning and strategic decision-making applications
When should you avoid magistral-small-latest?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Applications requiring image, audio, or multimodal inputs
  • Very large documents or long conversational histories
How does magistral-small-latest compare to similar models?

Compared to other models in a similar category, this model is more cost-efficient on input tokens but relatively expensive on output tokens. It is better suited for retrieval-heavy or context-rich workflows than generation-heavy use cases.

Understanding magistral-small-latest pricing
  • magistral-small-latest is a general-purpose AI model provided by Mistral.
  • Input tokens are priced at $0.50 per 1M tokens.
  • Output tokens are priced at $1.50 per 1M tokens.
  • The model supports a maximum input capacity of 40,000 tokens.
  • Maximum output length is 40,000 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 advanced reasoning capabilities for complex problem-solving tasks.
  • Mistral offers magistral-small-latest 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.

← Back to All ModelsView All Mistral Models
magistral-small-latest Cost Calculator - Mistral | Bifrost