LLM Reference

Mistral Medium 3

Released
2025-05-01
Last refreshed
2026-05-05
Status
Researched 45d ago
ProprietaryCommercial use with conditionsMultimodalCodingRAGAgentsLong contextVisionJSON / Tool use

Mistral Medium 3 has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 128k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Teams that need a tracked hosted API route today
Specifications
Released
2025-05-01
Context
128k
Architecture
Decoder Only
Knowledge cutoff
2025-03
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use with conditions
Training
pretrained
Created by

Enterprise AI solutions for trust and transparency.

Paris, France
Founded 2023
Website
Pricing

No tracked provider token pricing is available yet.

About

Mistral Medium 3 is Mistral AI's enterprise-grade model delivering frontier-level capabilities including vision, function calling, and code generation at competitive cost for business applications.

Mistral Medium 3 is a proprietary model in the Mistral Medium family. The structured metadata tracks a 128k-token context window, multimodal input, function calling, tool use, structured outputs, and code execution. No headline benchmark score is tracked for Mistral Medium 3 yet.

Top use-case fit: coding, agents, and build tasks

Coding

Included by capability and metadata signals in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

VisionMultimodalFunction CallingTool UseStructured OutputsCode Execution

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.