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...

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

This model supports the following parameters:

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

This model supports the following features:

Structured Outputs Response Format Tools
Performance Summary

Mistral-Small-3.2-24B-Instruct-2506, created on June 20, 2025, is an updated 24B parameter model from Mistral, optimized for instruction following, repetition reduction, and improved function calling. It supports image and text inputs with structured outputs and function/tool calling. The model performs among the fastest models, ranking in the top tier for speed (68th percentile), and consistently offers highly competitive pricing (83rd percentile). Demonstrating exceptional reliability, it achieved a 100% success rate across all benchmarks, indicating consistent and usable responses. In terms of performance, Mistral-Small-3.2-24B-Instruct-2506 exhibits strong capabilities in Ethics (100% accuracy), General Knowledge (98.5%), and Email Classification (99.0%), with the Ethics benchmark being particularly noteworthy for its perfect accuracy and efficiency. It also performs well in Hallucinations (96.0%) and Coding (86.0%). However, the model shows weaknesses in Instruction Following (51.0%) and Reasoning (60.0%), suggesting areas for improvement in complex multi-step directives and abstract problem-solving. Its Mathematics performance (85.0%) is moderate. Overall, its strengths lie in ethical adherence, general factual recall, and classification tasks, while complex instruction following and reasoning present challenges.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.1
Completion $0.3
Input Cache Read $0.01

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 $0.075 / 1M tokens $0.2 / 1M tokens
Parasail
Parasail | mistralai/mistral-small-3.2-24b-instruct-2506 131K $0.09 / 1M tokens $0.6 / 1M tokens
Chutes
Chutes | mistralai/mistral-small-3.2-24b-instruct-2506 131K $0.075 / 1M tokens $0.2 / 1M tokens
Chutes
Chutes | mistralai/mistral-small-3.2-24b-instruct-2506 131K $0.075 / 1M tokens $0.2 / 1M tokens
Venice
Venice | mistralai/mistral-small-3.2-24b-instruct-2506 256K $0.0938 / 1M tokens $0.25 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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