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 | 340B |
| 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 | Jun 14 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
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Mistral Small 3.2 and Nemotron-4 340B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Nemotron-4 340B shipped 371 days before Mistral Small 3.2, so benchmark comparisons should account for the intervening progress.
Mistral Small 3.2 has 24B parameters, while Nemotron-4 340B has 340B.
Direct benchmark comparisons are unavailable — Mistral Small 3.2 and Nemotron-4 340B don't publish scores on any of the same benchmarks.