Magistral Medium 1.2
Analysis Summary
Magistral Medium 1.2 is Mistral's reasoning-oriented model, with a particularly strong mathematics profile and useful results on GPQA, MMLU Pro, AIME, and live coding evaluation. Its general intelligence is more limited than current flagship systems, while instruction following, long-context reasoning, and terminal performance remain modest.
For businesses, the model is best suited to analytical drafting, technical explanation, and content that benefits from step-by-step mathematical reasoning. It is less suitable for autonomous agents, production coding assistants, or workflows requiring highly reliable instruction adherence. The listed pricing of 2 per million input tokens and 5 per million output tokens makes it a considered specialist choice rather than a volume model. Adopt it when mathematical reasoning is more important than broad workflow reliability.
Assessed September 7, 2026
Editorial notes
Magistral Medium 1.2 combines strong mathematical performance with useful general reasoning and coding results, making it suitable for specialist analytical content. Its agentic and instruction-following results are limited, and pricing is higher than budget alternatives.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Magistral Medium 1.2 combines strong mathematical performance with useful general reasoning and coding results, making it suitable for specialist analytical content. Its agentic and instruction-following results are limited, and pricing is higher than budget alternatives.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
11.8 Intelligence Index·21.3 Coding Index·1.9 Agentic Index·82 Math Index
How Magistral Medium 1.2 compares
Magistral Medium 1.2 ranks #212 of 438 AI models we track for overall intelligence, #145 of 210 for coding, #157 of 192 for agentic tasks. At $2.00 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $5.00 | $0.005000 |
What would Magistral Medium 1.2 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Magistral Medium 1.2 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamFrequently asked questions about Magistral Medium 1.2
How much does Magistral Medium 1.2 cost?
Magistral Medium 1.2 costs $2.00 per million input tokens and $5.00 per million output tokens.
Is Magistral Medium 1.2 good for coding?
On our coding benchmark index, Magistral Medium 1.2 ranks #145 of 210 models, placing it in the broader range of the field for code generation and debugging.
Who created Magistral Medium 1.2?
Magistral Medium 1.2 is developed by Mistral and was released on September 18, 2025.