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Mistral

Mistral Small 3.2

Open weightsModels.devHugging Face
Intelligence
7.0
Rank 571 of 744 measured models
Coding
12.5
Rank 258 of 298 measured models
Output speed
37 t/s
Rank 375 of 403 measured models
Price/1M
$0.106
Rank 96 of 659 measured models
Context window
128K
Rank 773 of 1199 measured models
Cost per task
$0.109
Rank 54 of 193 measured models

Mistral Small 3.2 scores 7.0 on the Artificial Analysis Intelligence Index, ranking 571st of 744 measured models. The closest models on this index are Command A+ (7.0), GPT-4 Turbo (7.0), and Nova Pro (7.0). At $0.106 per million tokens (3:1 input/output blended price), it is cheaper than Command A+ ($4.38), GPT-4 Turbo ($15), and Nova Pro ($1.40). With an output speed of 37 t/s, it is faster than GPT-4 Turbo (32.3 t/s), slower than Command A+ (61.5 t/s) and Nova Pro (127 t/s).

Artificial Analysis Indices
Intelligence7.0
Rank 571 of 744 measured models
Coding12.5
Rank 258 of 298 measured models
Math27.0
Rank 193 of 270 measured models
Agentic1.0
Rank 158 of 189 measured models
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Finance & Accounting6.5
Rank 208 of 218 measured models
Strategy & Ops4.1
Rank 206 of 218 measured models
Legal8.4
Rank 202 of 218 measured models
Engineering10.0
Rank 205 of 217 measured models
Economics11.7
Rank 211 of 225 measured models
Standard Benchmarks
MMLU Pro68.1%
Rank 238 of 349 measured models
GPQA Diamond50.5%
Rank 471 of 619 measured models
HLE4.3%
Rank 540 of 664 measured models
LiveCodeBench27.5%
Rank 240 of 343 measured models
SciCode28.6%
Rank 212 of 231 measured models
MATH-50088.3%
Rank 81 of 202 measured models
AIME 202432.3%
Rank 80 of 194 measured models
AIME 202527.0%
Rank 193 of 270 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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