Data Visualization
929Elo
Win rate 43.3%

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on WildBench and Arena Hard, reduces infinite generations, and delivers gains in tool use and structured output tasks.
It supports image and text inputs with structured outputs, function/tool calling, and strong performance across coding (HumanEval+, MBPP), STEM (MMLU, MATH, GPQA), and vision benchmarks (ChartQA, DocVQA).
Elo scores and win rates across design and agent tasks.
929Elo
Win rate 43.3%
902Elo
Win rate 40.5%
905Elo
Win rate 39.8%
887Elo
Win rate 39.4%
894Elo
Win rate 38.3%