Analysis Summary
Mistral Small 3.2 24B is a compact multimodal model supporting image input, tool use, and function calling within a 131K context window. Its measured reasoning and coding capabilities are limited, but the format and deployment features make it more useful than a basic text-only utility model.
It suits document and image extraction, content classification, templated SEO work, support triage, and other high-volume tasks with clear validation rules. It should not lead complex research, autonomous coding, or sensitive client communications. At $0.075 input and $0.20 output per million tokens, it is a strong budget choice for routine traffic where multimodal input is valuable.
Assessed September 7, 2026
Editorial notes
Mistral Small 3.2 24B is an inexpensive multimodal model with 131K context, vision, and function calling, suited to routine content and extraction but not demanding reasoning or coding.
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DFO Verdict
Mistral Small 3.2 24B is an inexpensive multimodal model with 131K context, vision, and function calling, suited to routine content and extraction but not demanding reasoning or coding.
How Mistral: Mistral Small 3.2 24B compares
Mistral: Mistral Small 3.2 24B ranks #228 of 438 AI models we track for overall intelligence, #176 of 210 for coding, #155 of 192 for agentic tasks. Its 256K-token context window is larger than 57% of the models we list. At $0.09 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.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.09 | $0.000094 |
| Output | $0.25 | $0.000250 |
What would Mistral: Mistral Small 3.2 24B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral Small 3.2 24B for the hard ones. Most clients cut their estimate by 60-80%.
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..
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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 $0.09 per million input tokens and $0.25 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 #176 of 210 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 18, 2026 8:38 pm