Mistral Small 3.2vsQwen-72B
Mistral Small 3.2 | Qwen-72B | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | 24B | 72B |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | — | 32k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.075DeepInfra | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.20DeepInfra | — |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Jun 20 2025 | Nov 30 2023 |
| Access | Open Weight | Open Weight |
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Frequently asked questions
Mistral Small 3.2 and Qwen-72B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen-72B shipped 568 days before Mistral Small 3.2, so benchmark comparisons should account for the intervening progress.
Mistral Small 3.2 has 24B parameters, while Qwen-72B has 72B.
Direct benchmark comparisons are unavailable — Mistral Small 3.2 and Qwen-72B don't publish scores on any of the same benchmarks.