Magistral Small 1.2

Magistral Small 1.2

Mistral · Released Sep 17, 2025 Professional
Intelligence #14 / 590
82.0 Our Score
Speed #156 / 279
82.2 tokens / sec
Input #383 / 592
$0.500 per 1M tokens
Output #363 / 592
$1.50 per 1M tokens
Context
— Not reported

Analysis Summary

Magistral Small 1.2 is Mistral's compact reasoning-oriented model, released September 2025. Its intelligence index of 11.3 is modest against the current field, but its math index of 80.3 and AIME-25 score of 0.80 are standout figures for a small model, indicating strong structured reasoning capability. Coding index at 14.7 and agentic index at 16.2 are limited, so it is not suited for software engineering or autonomous agent tasks.

For businesses, the best fit is high-volume structured content, mathematical analysis, SEO content generation, and instruction-following workflows where cost matters. At $0.50 per million input tokens and $1.50 output, it offers strong price-performance for reasoning-heavy text tasks. Instruction following (IFBench 0.44) is reasonable for a model of this size.

Teams running large-scale content pipelines or needing affordable math-capable reasoning should consider it seriously. For coding or agentic work, a larger model is needed.

Assessed June 30, 2026

Editorial notes

Magistral Small 1.2 from Mistral delivers strong math reasoning and competitive MMLU-Pro at 76.8%, with affordable pricing at $0.50 input, making it a cost-effective option for structured content and reasoning tasks at scale.

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

Performance Profile

Intelligence2.7Technical2.5Value6.5Content3.4
Intelligence 2.7/10
Technical 2.5/10
Content 3.4/10
Value 6.5/10

How Magistral Small 1.2 compares

Magistral Small 1.2 ranks #212 of 385 AI models we track for overall intelligence, #105 of 139 for coding, #212 of 293 for agentic tasks. At $0.50 per million input tokens it is cheaper than 35% of comparable models.

Performance Indices

Source: Artificial Analysis

11.3 Intelligence Index
14.7 Coding Index
16.2 Agentic Index
80.3 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 66.3% Graduate-level scientific reasoning
HLE 6.1% Humanity's Last Exam
MMLU Pro 76.8% Multi-task language understanding
AIME 2025 80.3% Competition mathematics (2025)
SciCode 35.2% Scientific computing

Technical

LiveCodeBench 72.3% Live coding evaluation
TerminalBench Hard 4.5% Agentic terminal tasks
τ²-Bench 27.8% Conversational agent benchmark

Content

IFBench 44.4% Instruction following
LCR 16.3% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Magistral Small 1.2 stack up?

Compare side-by-side with other professional models.

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Model Information

ProviderMistral
Release Date September 17, 2025
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.50 $0.000500
Output $1.50 $0.001500

Leaderboard Categories

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 #105 of 139 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.