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AI123AI ModelsmistralaiMistral Small 3.2 24B
Mistral Small 3.2 24B

Mistral Small 3.2 24B

mistralai

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).

Modalities
TT
Input / output price
$0.075/$0.2per 1M tokens
Context
256K
Released
2025-06-20
PricingDesign ArenaRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutput
$0.07/ 1M tokens$0.20/ 1M tokens

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
Code Categories: 905; Data Visualization: 929; Game Development: 887; UI Component: 902; Website: 894Code Categories905 EloData Visualization929 EloGame Development887 EloUI Component902 EloWebsite894 Elo

Model Arena

Data Visualization

929Elo

Win rate 43.3%

UI Component

902Elo

Win rate 40.5%

Code Categories

905Elo

Win rate 39.8%

Game Development

887Elo

Win rate 39.4%

Website

894Elo

Win rate 38.3%

How Design Arena works

Related Models

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Mistral Large 4

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Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up to 256K output tokens, and supports tool calling and structured outputs.

Context
1.0M
Max output
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Released
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Input
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Output
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Cache read
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Mistral Medium 3.5

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Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi-step reasoning. It is particularly strong at reliable multi-tool calling and long-horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self-hostable on as few as four GPUs and available under open weights.

Context
262K
Max output
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Released
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Input
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Output
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Cache read
N/A
Mistral Small 4

Mistral Small 4

mistralai

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from Magistral, multimodal understanding from Pixtral, and agentic coding capabilities from Devstral, enabling one model to handle complex analysis, software development, and visual tasks within the same workflow.

Context
262K
Max output
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Released
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Input
$0.15/M
Output
$0.6/M
Cache read
$0.015/M
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