Mistral: Mistral Small 3.2 24B

Mistral: Mistral Small 3.2 24B

mistralai · Released Jun 20, 2025
Intelligence #188 / 756
40.7 our score
Speed #79 / 333
143.2 tok/s
Input Price #243 / 779
$0.094 per 1M tokens
Output Price #243 / 779
$0.250 per 1M tokens
Context #334 / 779
256,000 tokens

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.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

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.

#188 of 756 overall

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.

Position in the field
Intelligence: smarter than 75% of models #188
Speed: faster than 76% of models #79
Price: cheaper than 69% of models #243
Context: larger than 57% of models #334
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Mistral: Mistral Small 3.2 24B $0.09 in $0.25 out
OpenAI: GPT-6 Astra $10.00 in $50.00 out
Anthropic: Claude Fable 5.1 $10.00 in $50.00 out
Claude Opus 5 $5.00 in $25.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens
Mistral: Mistral Small 3.2 24B 256K

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence1.5Technical1.3Value7.8Content5.3
Performance profile

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?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo Mistral: Mistral Small 3.2 24B

Full calculator with 779 models → Price Calculator

DFO AI AUTOMATION

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%.

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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..

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.

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