Mistral AI · language model
Mistral Small 3.2 24B: pricing, context and benchmarks
Mistral Small 3.2 24B is Mistral AI's model released on June 20, 2025. It costs $0.08 per million input tokens and $0.2 per million output tokens, with a 256K-token context window. No independent score has been published for it so far.
| Price | 27/30 | |
|---|---|---|
| Context | 6/15 | |
| Features | 12/15 |
What you need to know about Mistral Small 3.2 24B
Mistral AI, based in France, put Mistral Small 3.2 24B online on June 20, 2025. It accepts images and text as input and produces text. Its context window reaches 256,000 tokens, larger than 41 % of the models in the registry, and it can write up to 16,384 tokens in one go.
It has been available for about 16 months, long enough for its prices and scores to have settled.
Mistral Small 3.2 24B pricing
On OpenRouter, Mistral Small 3.2 24B costs $0.08 per million input tokens and $0.2 per million output tokens. Counting three tokens read for every token written, its average price is $0.106 per million, more expensive than 9 % of paid models (7.2 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0003. At 1,000 tasks a day, budget $8 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Mistral Small 3.2 24B. We therefore show no made-up performance rating: only price, context and features count towards its score.
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- Its knowledge stops at October 2023.
Its weights are open and downloadable from Hugging Face: you can run it on your own machines without sending your data to a third party.
Other Mistral AI models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Mistral Large 4 | Oct 6, 2026 | $2.07 | 150 |
| Mistral Medium 3.5 | Apr 30, 2026 | $3 | 141.4 |
| Mistral Small 4 | Mar 16, 2026 | $0.26 | — |
| Devstral 2 2512 | Dec 9, 2025 | $0.8 | — |
| Ministral 3 14B 2512 | Dec 2, 2025 | $0.2 | — |
| Ministral 3 8B 2512 | Dec 2, 2025 | $0.15 | — |
| Ministral 3 3B 2512 | Dec 2, 2025 | $0.1 | — |
| Mistral Large 3 2512 | Dec 1, 2025 | $0.75 | — |
Verdict
Computed score: 75/100, from public data (performance, price, context, features).
Strengths
- Low price: cheaper than 91 % of paid models.
- Open weights: self-hostable, your data stays with you.
- Agent-ready: tool calling and structured JSON output.
Limitations
- No independent score published: performance cannot be verified.
Alternatives
- Mercury 2.5$0.07
- Granite 4.2 8B$0.11
- Ling 3.0 Flash VL$0.09
- Llama 3.2 3B Instruct$0.12
- Gemma 4 26B A4B$0.11
- Nemotron 3 Nano 30B A3B$0.11
Comparisons and tools
Learn more
Frequently asked questions
How much does Mistral Small 3.2 24B cost?
$0.08 per million input tokens and $0.2 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0003.
How big is Mistral Small 3.2 24B's context window?
256,000 tokens, roughly 192,000 words, with a maximum of 16,384 output tokens.
Can Mistral Small 3.2 24B run locally?
Yes, its weights are published.
Is Mistral Small 3.2 24B suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
What are the alternatives to Mistral Small 3.2 24B?
The closest models on price and performance are Mercury 2.5, Granite 4.2 8B, and Ling 3.0 Flash VL.
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- LLM benchmarks: how to read model rankingsOctober 24, 2026
- Running a local LLM: hardware, software, and limitationsOctober 24, 2026
- Open-source or closed models for your AI agents?October 5, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score