Magistral Small 1.2

Magistral Small 1.2

Mistral · Released Sep 17, 2025
Intelligence #245 / 650
37.2 our score
Speed #95 / 296
129.3 tok/s
Input Price #415 / 688
$0.500 per 1M tokens
Output Price #394 / 688
$1.50 per 1M tokens
Context
Not reported

Analysis Summary

Magistral Small 1.2 stands out for strong mathematical reasoning performance relative to other small models, though its general intelligence, coding, and agentic scores remain modest.

This profile suits tasks involving structured problem-solving or quantitative analysis, but it is less reliable for open-ended business writing or complex coding assignments.

A reasonable niche choice for math-heavy workflows where budget is a concern, though not a general-purpose recommendation.

Assessed July 29, 2026

Editorial notes

Magistral Small 1.2 from Mistral shows strong math reasoning for its size but weaker general intelligence and coding scores.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

Magistral Small 1.2 from Mistral shows strong math reasoning for its size but weaker general intelligence and coding scores.

#245 of 650 overall

Benchmark scores

GPQA Diamond 66.3%
HLE 6.1%
MMLU Pro 76.8%
AIME 2025 80.3%
SciCode 35.2%
LiveCodeBench 72.3%
TerminalBench Hard 4.5%
τ²-Bench 27.8%
IFBench 44.4%
LCR 16.3%

Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.

11.3 Intelligence Index·14.7 Coding Index·1.4 Agentic Index·80.3 Math Index

How Magistral Small 1.2 compares

Magistral Small 1.2 ranks #226 of 401 AI models we track for overall intelligence, #134 of 176 for coding, #142 of 157 for agentic tasks. At $0.50 per million input tokens it is cheaper than 40% of comparable models.

Position in the field
Intelligence: smarter than 62% of models #245
Speed: faster than 68% of models #95
Price: cheaper than 40% of models #415
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Magistral Small 1.2 $0.50 in $1.50 out
Anthropic: Claude Fable 5 $10.00 in $50.00 out
Claude Opus 5 $5.00 in $25.00 out
Anthropic: Claude Opus 4.8 $5.00 in $25.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence2.7Technical2.2Value6.5Content4
Performance profile

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.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

Full calculator with 688 models → Price Calculator

DFO AI AUTOMATION

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 team

Frequently 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 #134 of 176 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.

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