Mistral: Mistral Small 3.2 24B
Analysis Summary
Mistral Small 3.2 24B is Mistral AI's compact multimodal model, supporting vision, tool use, and function calling across a 128K context window. At $0.075 input and $0.20 output per million tokens, it is one of the most cost-efficient multimodal models available. MMLU Pro of 0.681 and GPQA of 0.505 reflect solid general knowledge for its size.
For businesses, this model is well suited to high-volume content workflows, SEO content generation, structured output tasks, and light document analysis where cost efficiency is a priority. The vision capability adds versatility for image-aware content tasks. Coding and agentic performance are limited, so it is not the right choice for software engineering or autonomous agent pipelines.
At its price point, Mistral Small 3.2 24B is a strong candidate for teams running large volumes of content or structured data tasks where a frontier model would be cost-prohibitive. It pairs well with a stronger model for complex reasoning tasks within the same workflow.
Assessed July 10, 2026
Editorial notes
Mistral Small 3.2 24B offers vision, tool use, function calling, and a 128K context at $0.075/$0.20 per million tokens, making it a strong value option for content and structured output tasks at small-model pricing.
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DFO Verdict
Mistral Small 3.2 24B offers vision, tool use, function calling, and a 128K context at $0.075/$0.20 per million tokens, making it a strong value option for content and structured output tasks at small-model pricing.
How Mistral: Mistral Small 3.2 24B compares
Mistral: Mistral Small 3.2 24B ranks #227 of 393 AI models we track for overall intelligence, #125 of 157 for coding, #287 of 300 for agentic tasks. Its 131K-token context window is larger than 57% of the models we list. At $0.10 per million input tokens it is cheaper than 68% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.30 | $0.000300 |
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.
Full calculator with 612 models ā Price Calculator
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 $0.10 per million input tokens and $0.30 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 131,072 tokens (131K).
Is Mistral: Mistral Small 3.2 24B good for coding?
On our coding benchmark index, Mistral: Mistral Small 3.2 24B ranks #125 of 157 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.
