Magistral Small 1.2
Analysis Summary
Magistral Small 1.2 is Mistral's reasoning-oriented small model, with particularly strong mathematical results and useful coding benchmark performance relative to its general intelligence level. Its price of $0.50 per million input tokens and $1.50 per million output tokens places it above the cheapest compact options but below premium systems.
It can support mathematical analysis, technical checking, code generation, and structured problem solving under supervision. Long-context and agentic results are weak, so it is not appropriate for large document workflows, autonomous tool use, or complex client operations. Choose it when specialised reasoning matters more than conversational breadth, and validate all outputs before external publication or execution.
Assessed September 7, 2026
Editorial notes
Magistral Small 1.2 shows strong mathematical and coding benchmark results for its size, with a $0.50 input and $1.50 output price. Weak agentic and long-context performance limits broader client deployment.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Magistral Small 1.2 shows strong mathematical and coding benchmark results for its size, with a $0.50 input and $1.50 output price. Weak agentic and long-context performance limits broader client deployment.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
8.6 Intelligence Index·14.7 Coding Index·1.5 Agentic Index·80.3 Math Index
How Magistral Small 1.2 compares
Magistral Small 1.2 ranks #270 of 438 AI models we track for overall intelligence, #167 of 210 for coding, #161 of 192 for agentic tasks. At $0.50 per million input tokens it is cheaper than 39% 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 | $0.50 | $0.000500 |
| Output | $1.50 | $0.001500 |
What would Magistral Small 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 Small 1.2 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamFrequently asked questions about Magistral Small 1.2
How much does Magistral Small 1.2 cost?
Magistral Small 1.2 costs $0.50 per million input tokens and $1.50 per million output tokens.
Is Magistral Small 1.2 good for coding?
On our coding benchmark index, Magistral Small 1.2 ranks #167 of 210 models, placing it in the broader range of the field for code generation and debugging.
Who created Magistral Small 1.2?
Magistral Small 1.2 is developed by Mistral and was released on September 17, 2025.