Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 24B | 70B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 40k | 128k |
| Overview | ||
| Company | Mistral | NVIDIA |
| Release date | Jun 10 2025 | Oct 15 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Magistral Small 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 238 days before Magistral Small, so benchmark comparisons should account for the intervening progress.
Magistral Small has 24B parameters, while Llama 3.1 Nemotron 70B has 70B. Context windows are 40k (Magistral Small) vs 128k (Llama 3.1 Nemotron 70B). Magistral Small is closed, while Llama 3.1 Nemotron 70B is open weight.
Direct benchmark comparisons are unavailable — Magistral Small and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks.