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Mistral AI · Mistral
No. 23
Magistral Medium 1.2
Mistral's transparent-chain reasoning flagship, now multimodal.
Field notes
- Context window
- 131Ktokens
- Max output
- 41Ktokens
- Input price
- $2/ 1M tokens
- Output price
- $5/ 1M tokens
- Modalities
- Text, Image
- Knowledge cutoff
- Jun 2025
- Released
- Sep 2025
- Approx. speed
- —
Overview
What this model is
Magistral Medium 1.2 is Mistral's proprietary reasoning model, producing explicit multilingual chains of thought and strong performance on math and structured problem-solving, now with a vision encoder for reasoning over images. It is competitive on reasoning benchmarks and notably good at showing its work in the user's language, but its agentic coding reliability remains below the closed frontier. Best used for math, logic, and analysis rather than autonomous engineering.
Strengths
- Dedicated, transparent reasoning traces
- Strong competition-math performance (AIME)
- Multimodal reasoning over text and images
- Function calling and JSON mode support
Trade-offs
- Slower and pricier per task (long thinking output)
- Closed weights (Magistral Small is the open variant)
- Agentic coding below the frontier
- Narrower general knowledge than flagships
Best for
- Complex math and scientific reasoning
- Multistep logic and analysis
- Visual reasoning tasks
- Auditable chain-of-thought workflows
Not ideal for
- Latency-sensitive or high-volume chat
- Long autonomous coding agents
Capabilities
Capability profile
Normalized 0–100 scores, comparable across the whole catalog.
- Reasoning
- 80
- Coding
- 66
- Math
- 84
- Writing
- 72
- Knowledge
- 76
- Speed
- 58
- Agentic
- 62
- Vision
- 60
- Multilingual
- 80
- Long Context
- 72
Benchmarks
How it scores
Public benchmark results, with independent third-party results where available. Bars normalize percentages to 100 and Elo ratings to a 1500 ceiling.
Independent index
Artificial Analysis Intelligence Index
Composite of ~9–10 independent evals · Artificial Analysis
18/ 100
BenchmarkResult
Artificial Analysis Intelligence Indexindependent
GeneralArtificial Analysis
18%
Aider Polyglotindependent
CodingAider
47.1%