The latest iteration of Mistral Small, version 3.2 (2506) brings enhanced performance and capabilities. With 24 billion parameters, this model delivers state-of-the-art results across text generation tasks with improved efficiency.
Added Apr 15, 2025
Model weightsContext Window
128.0K
Max Output
131.1K
Input Price (Auto)
$0.20/1M
Output Price (Auto)
$0.40/1M
Cache Read (Auto)
$0.10/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
10.7
Coding Index
12.5
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
50.5%
Better than 25% of models compared
HLE
Humanity's Last Exam
4.3%
Better than 21% of models compared
IFBench
Instruction-following benchmark
33.5%
Better than 23% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
29.5%
Better than 37% of models compared
AA-LCR
Long context reasoning evaluation
18.7%
Better than 27% of models compared
Coding
SciCode
Python programming for scientific computing
26.4%
Better than 31% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
6.8%
Better than 37% of models compared
LiveCodeBench
Contamination-free coding benchmark
27.5%
Better than 30% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
27.0%
Better than 29% of models compared
AIME
American Invitational Mathematics Examination
32.3%
Better than 59% of models compared
Math-500
Diverse mathematical problem solving benchmark
88.3%
Better than 59% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
68.1%
Better than 32% of models compared
Last updated Aug 16, 2026
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