Mistral: Mistral Medium 3

Text input Image input Text output
Author's Description

Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.

Key Specifications
Cost
$$$$
Context
131K
Released
May 07, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Stop Presence Penalty Tool Choice Top P Temperature Seed Tools Structured Outputs Response Format Frequency Penalty Max Tokens
Features

This model supports the following features:

Tools Structured Outputs Response Format
Performance Summary

Mistral Medium 3, created on May 7, 2025, demonstrates a balanced and highly competitive performance profile. It exhibits competitive response times, ranking in the 49th percentile for speed across various benchmarks, indicating it performs among models with good efficiency. Its pricing is also competitive, placing in the 48th percentile, making it a cost-effective solution. Notably, the model boasts exceptional reliability, achieving the 99th percentile, signifying minimal technical failures and consistent evaluable responses. In terms of specific benchmarks, Mistral Medium 3 shows strong capabilities in Coding (87.0% accuracy, 73rd percentile) and Instruction Following (64.0% accuracy, 77th percentile). It excels in Classification tasks, achieving 99.0% accuracy in Email Classification (85th percentile). A significant strength lies in its perfect accuracy (100.0%) in both Ethics and General Knowledge benchmarks, where it is highlighted as the most accurate model at its price point and among models of comparable speed. While its Reasoning accuracy is solid at 72.0% (70th percentile), its duration for the Ethics benchmark was notably longer (19th percentile for speed). Overall, Mistral Medium 3 is a robust, reliable, and cost-efficient model with particular strengths in knowledge recall, ethical reasoning, and coding.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.4
Completion $2

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Mistral
Mistral | mistralai/mistral-medium-3 131K $0.4 / 1M tokens $2 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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