Mistral: Mistral Small 3.2 24B
Analysis Summary
Mistral Small 3.2 24B is a compact multimodal model from Mistral, supporting text and image inputs alongside tool use and function calling. Its intelligence index of 15.1 places it in the lower tier of the current field, but its breadth of capability, vision, tool use, and a 128K context window, makes it versatile for its price point.
For businesses, it suits high-volume content generation, structured-output tasks, and light agentic workflows where cost efficiency is the priority. Coding and agentic performance are limited, so it is not appropriate for software engineering or complex multi-step automation. Instruction following is moderate.
At $0.075 input and $0.20 output per million tokens, it is among the most cost-effective models with multimodal and tool-use capability. Teams running large-scale content or SEO workflows at tight budgets will find it a practical choice.
Assessed June 6, 2026
Editorial notes
Mistral Small 3.2 24B from Mistral delivers vision, tool use, and function calling at very low cost, making it a strong value pick for content and structured-output workflows despite limited reasoning depth.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Mistral: Mistral Small 3.2 24B compares
Mistral: Mistral Small 3.2 24B ranks #230 of 377 AI models we track for overall intelligence, #207 of 314 for coding, #191 of 289 for agentic tasks. Its 128K-token context window is larger than 43% of the models we list. At $0.08 per million input tokens it is cheaper than 69% of comparable models.
About Mistral: Mistral Small 3.2 24B
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 professional 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, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Mistral: Mistral Small 3.2 24B
How much does Mistral: Mistral Small 3.2 24B cost?
Mistral: Mistral Small 3.2 24B costs $0.08 per million input tokens and $0.20 per million output tokens.
What is the context window of Mistral: Mistral Small 3.2 24B?
Mistral: Mistral Small 3.2 24B has a context window of 128,000 tokens (128K).
Is Mistral: Mistral Small 3.2 24B good for coding?
On our coding benchmark index, Mistral: Mistral Small 3.2 24B ranks #207 of 314 models, placing it in the broader range of the field for code generation and debugging.
What can Mistral: Mistral Small 3.2 24B do?
Mistral: Mistral Small 3.2 24B supports image/vision input, tool use, and function calling.
Who created Mistral: Mistral Small 3.2 24B?
Mistral: Mistral Small 3.2 24B is developed by Mistral and was released on June 20, 2025.
