Compare AI models
| 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 | 70B |
| 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 | NVIDIA |
| Release date | Jun 20 2025 | Oct 15 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
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Mistral Small 3.2 and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Llama 3.1 Nemotron 70B shipped 248 days before Mistral Small 3.2, so benchmark comparisons should account for the intervening progress.
Mistral Small 3.2 has 24B parameters, while Llama 3.1 Nemotron 70B has 70B.
Direct benchmark comparisons are unavailable — Mistral Small 3.2 and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks.