Mistral: Mistral Small 3.2 24B
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
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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
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.
Model Information
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 ā refreshed every 30 minutes.
Leaderboard Categories
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 11, 2026 8:38 pm