Mistral: Mistral Small 3.2 24B
Analysis Summary
Mistral Small 3.2 24B is a text-and-image model with a 256K context window, tool use, and function calling. The supplied intelligence and coding results are low, and its agentic result is also limited, so the feature set should not be mistaken for strong performance on complex tasks. Listed prices are $0.0938 per million input tokens and $0.25 per million output tokens.
Its combination of vision and a long context could be useful for lightweight document processing, image-aware classification, and structured API tasks. The evidence does not support relying on it for demanding coding, intricate reasoning, or unsupervised agent workflows. Client-facing writing should also be checked for instruction adherence and accuracy.
It is best evaluated as a cost-conscious utility model for bounded tasks, with a stronger model available for exceptions and higher-stakes work.
Assessed September 23, 2026
Editorial notes
Mistral Small 3.2 combines vision, tool use, function calling, and a 256K context window at low listed prices; its supplied reasoning and coding benchmarks are limited.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Mistral Small 3.2 combines vision, tool use, function calling, and a 256K context window at low listed prices; its supplied reasoning and coding benchmarks are limited.
Benchmarks
Artificial Analysis data refreshed Oct 23, 2026. Arena ratings from the Oct 20, 2026 text leaderboard, with style control.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Mistral: Mistral Small 3.2 24B compares
Mistral: Mistral Small 3.2 24B ranks #263 of 443 AI models we track for overall intelligence, #169 of 198 for coding, #139 of 181 for agentic tasks. Its 256K-token context window is larger than 59% of the models we list. At $0.08 per million input tokens it is cheaper than 69% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000075 |
| Output | $0.20 | $0.000200 |
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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Talk to our teamAbout 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..
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 256,000 tokens (256K).
Is Mistral: Mistral Small 3.2 24B good for coding?
On our coding benchmark index, Mistral: Mistral Small 3.2 24B ranks #169 of 198 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.