Mistral Small 3.2 by Mistral demonstrates fast output speed, competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.
General Benchmarks
Massive Multitask Language Understanding professional benchmark
HuggingFace LeaderboardHuman preference ELO from blind head-to-head votes
LMSYS / HuggingFaceCoding Benchmarks
Human preference ELO for building a working web page from a brief
Design Arena (via OpenRouter)Human preference ELO for building things — websites, UI, games, charts, SVG
Design Arena (via OpenRouter)Math Benchmarks
Reasoning Benchmarks
Speed Benchmarks
Cost Benchmarks
Context Benchmarks
Available from 5 providers
The same model costs different amounts depending on who serves it. You can bring your own key for 1 of these — connect it here.
| Provider | Input / 1M | Output / 1M | Cached in | Context | Your key |
|---|---|---|---|---|---|
| Helicone | $0.075 | $0.2 | — | 128K | — |
| DevPass (LLM Gateway) | $0.1 | $0.3 | — | 128K | — |
| LLM Gateway | $0.1 | $0.3 | — | 128K | — |
| Mistral | $0.1 | $0.3 | — | 128K | Supported |
| GreenPT | $0.228 | $0.456 | — | 128K | — |
Mistral Small 3.2 — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
Compare Mistral Small 3.2 With
Mistral Small 3.2 — Frequently Asked Questions
How intelligent is Mistral Small 3.2?
Mistral Small 3.2 scores 1190 on the Chatbot Arena ELO rating, making it an entry-level AI model. This score is based on blind head-to-head human preference voting.
How much does Mistral Small 3.2 cost?
Mistral Small 3.2 costs $0.07 per 1M input tokens and $0.20 per 1M output tokens. This makes it one of the more affordable models.
How fast is Mistral Small 3.2?
Mistral Small 3.2 generates output at 160 tokens per second, which is very fast compared to other models. The time to first token is 120 ms.
How good is Mistral Small 3.2 at coding?
Mistral Small 3.2 achieves 20.0% on SWE-bench Verified, demonstrating basic real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.
How good is Mistral Small 3.2 at math and reasoning?
Mistral Small 3.2 scores 58.0% on the MATH benchmark (competition-level mathematics). It also achieves 30.0% on GPQA Diamond, a graduate-level science reasoning benchmark.
What is the context window of Mistral Small 3.2?
Mistral Small 3.2 has a context window of 256K tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Mistral Small 3.2?
Mistral Small 3.2 was created by Mistral. It is classified as a budget model in our catalogue.
Is Mistral Small 3.2 open source?
No, Mistral Small 3.2 is a proprietary model. It is available through Mistral's API and compatible providers.