Mistral

Magistral Small 1.2

Magistral Small 1.2 is a compact and efficient language model from Mistral AI, optimized for fast inference and low-cost deployment. It is well-suited for applications requiring quick responses and resource efficiency, such as edge computing or high-throughput services.

ReasoningCodingFastCheap

Input / 1M tokens

$0.50

Output / 1M tokens

$1.50

Output tokens/s

107.88

First-token seconds

0.38s

Supported plans

Benchmark history

Evaluations

TAU2

Measured May 14, 2026Source

Score

0.28

Terminalbench Hard

Measured May 14, 2026Source

Score

0.05

Lcr

Measured May 14, 2026Source

Score

0.16

Ifbench

Measured May 14, 2026Source

Score

0.44

Aime 25

Measured May 14, 2026Source

Score

0.8

Scicode

Measured May 14, 2026Source

Score

0.35

Livecodebench

Measured May 14, 2026Source

Score

0.72

Hle

Measured May 14, 2026Source

Score

0.06

Gpqa

Measured May 14, 2026Source

Score

0.66

Mmlu Pro

Measured May 14, 2026Source

Score

0.77

Artificial Analysis Math Index

Measured May 14, 2026Source

Score

80.3

Artificial Analysis Coding Index

Measured May 14, 2026Source

Score

14.8

Artificial Analysis Intelligence Index

Measured May 14, 2026Source

Score

18.2

Plan availability

Products and plans that support this model

No products or plans have been linked to this model yet.

Discussion

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