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:

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

This model supports the following features:

Tools Response Format Structured Outputs
Performance Summary

Mistral Medium 3 demonstrates strong overall performance, positioning itself as a high-value enterprise-grade language model. It typically performs among the fastest models, ranking in the 61st percentile for speed across benchmarks, and offers competitive pricing, falling within the 47th percentile. The model exhibits exceptional reliability with a 99% success rate, indicating consistent and dependable operation. In terms of accuracy, Mistral Medium 3 achieves perfect scores in Hallucinations, General Knowledge, and Ethics, highlighting its robust understanding and ethical alignment. It also shows strong capabilities in Email Classification (99.0% accuracy) and Mathematics (93.0% accuracy), performing in the 85th and 81st percentiles respectively. While its Coding accuracy (87.0%) is solid, its performance in Instruction Following (64.0%) and Reasoning (72.0%) suggests areas for potential improvement, though still competitive within its class. Notably, the model often achieves perfect accuracy at competitive price points and speeds in several key benchmarks. Its balance of state-of-the-art reasoning and multimodal performance, coupled with reduced operational costs, makes it well-suited for scalable professional and industrial deployments.

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 Strategy Free Executions Accuracy Cost Duration
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