Mistral

Mistral: mistral-small-3.2:free

mistral-small-3.2:free
120K context131.1K outReasoningToolsStructuredPrefill
Released Jun 20, 2025Knowledge cutoff 2023Updated Jun 20, 2025

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).

Mode chatTokenizer MistralQuantization fp8mistralai/Mistral-Small-3.2-24B-Instruct-2506

Pricing

Input price
$0.00/ 1M tokens
Output price
$0.00/ 1M tokens
Context window 120K tokensCompatible endpoints openaiVendor Mistral

Performance

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Usage & Ranking

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Supported parameters

All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.

ParameterProvidersDefault
frequency_penaltyAll providers-
logit_biasSome providers-
logprobsSome providers-
max_tokensAll providers-
min_pSome providers-
presence_penaltyAll providers-
repetition_penaltySome providers-
response_formatAll providers-
seedSome providers-
stopAll providers-
structured_outputsAll providers-
temperatureAll providers0.3
tool_choiceSome providers-
toolsSome providers-
top_kSome providers-
top_logprobsSome providers-
top_pAll providers-

Frequently asked questions

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