Mistral: Mistral Small 3.2 24B

Mistral: Mistral Small 3.2 24B

mistralai · Released Jun 20, 2025 Efficient
Intelligence #170 / 551
45.9 Our Score
Speed #62 / 257
146.5 tokens / sec
Input #170 / 552
$0.075 per 1M tokens
Output #168 / 552
$0.200 per 1M tokens
Context #291 / 552
128,000 tokens

Analysis Summary

Mistral: Mistral Small 3.2 24B sits in the Efficient tier on our leaderboard, ranked #170 of 551 published models on overall intelligence. At $0.075 input and $0.200 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use, function calling, and vision.

Editorial notes

Mistral Small 3.2 24B is a low-cost multimodal model with tool use and vision at $0.075/$0.20 per 1M, suited to lightweight SEO and content tasks; intelligence and coding indices are limited for complex business workflows.

Assessed May 5, 2026

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence3.2Technical2.6Value7.8Content4.5
Intelligence 3.2/10
Technical 2.6/10
Content 4.5/10
Value 7.8/10

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..

24B Parameters

Capabilities

Tool Use Function Calling Vision

Performance Indices

Source: Artificial Analysis

15.1 Intelligence Index
13.3 Coding Index
18.2 Agentic Index
27 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 50.5% Graduate-level scientific reasoning
HLE 4.3% Humanity's Last Exam
MMLU Pro 68.1% Multi-task language understanding
MATH 500 88.3% Mathematical problem-solving
AIME 32.3% Competition mathematics
AIME 2025 27% Competition mathematics (2025)
SciCode 26.4% Scientific computing

Technical

LiveCodeBench 27.5% Live coding evaluation
TerminalBench Hard 6.8% Agentic terminal tasks
τ²-Bench 29.5% Conversational agent benchmark

Content

IFBench 33.5% Instruction following
LCR 17.3% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Mistral: Mistral Small 3.2 24B stack up?

Compare side-by-side with other efficient models.

Compare Models

Model Information

OpenRouter ID mistralai/mistral-small-3.2-24b-instruct
Providermistralai
Model FamilyMistral
Release Date June 20, 2025
Context Length128,000 tokens
Max Completion16,384 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.08 $0.000075
Output $0.20 $0.000200

Live Performance

Live endpoint metrics — refreshed every 30 minutes.

99%
Avg Uptime
232ms
Best Latency (TTFT)
98 tok/s
Best Throughput
4/4
Active Endpoints
Available via: DeepInfra, Parasail, Venice, Mistral

Leaderboard Categories

SEO