Mistral: Mistral Small 3.2 24B

Text input Image input Text output
Author's Description

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).

Key Specifications
Cost
$$
Context
131K
Parameters
24B
Released
Jun 20, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Tools Structured Outputs Tool Choice Response Format Stop Seed Top P Max Tokens Frequency Penalty Temperature Presence Penalty
Features

This model supports the following features:

Tools Response Format Structured Outputs
Performance Summary

Mistral Small 3.2 24B demonstrates strong overall performance, particularly excelling in reliability with a 100% success rate across all benchmarks, indicating exceptional stability. The model performs among the fastest models, ranking in the 67th percentile for speed, and consistently offers competitive pricing, placing in the 82nd percentile. In terms of specific benchmarks, Mistral Small 3.2 24B achieves perfect accuracy in Ethics, making it the most accurate model at its price point and among models of similar speed. It also shows very strong performance in Email Classification (99.0% accuracy) and General Knowledge (98.5% accuracy). Its ability to handle hallucinations is commendable at 96.0% accuracy. While performing well in Coding (86.0% accuracy) and Mathematics (85.0% accuracy), its Instruction Following (51.0% accuracy) and Reasoning (60.0% accuracy) scores suggest areas for potential improvement. The model's support for image and text inputs, structured outputs, and function/tool calling further enhances its versatility.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.1
Completion $0.3

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Mistral
Mistral | mistralai/mistral-small-3.2-24b-instruct-2506 131K $0.1 / 1M tokens $0.3 / 1M tokens
DeepInfra
DeepInfra | mistralai/mistral-small-3.2-24b-instruct-2506 128K $0.075 / 1M tokens $0.2 / 1M tokens
Enfer
Enfer | mistralai/mistral-small-3.2-24b-instruct-2506 32K $0.06 / 1M tokens $0.18 / 1M tokens
Parasail
Parasail | mistralai/mistral-small-3.2-24b-instruct-2506 131K $0.2 / 1M tokens $0.5 / 1M tokens
Chutes
Chutes | mistralai/mistral-small-3.2-24b-instruct-2506 131K $0.06 / 1M tokens $0.18 / 1M tokens
Chutes
Chutes | mistralai/mistral-small-3.2-24b-instruct-2506 131K $0.06 / 1M tokens $0.18 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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