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 | 8B |
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. | 128k | — |
| These models have no shared benchmark scores. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 46.8% | — |
| Overview | ||
| Company | Mistral | NVIDIA |
| Release date | May 21 2025 | Oct 23 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Devstral SmallvsClaude Haiku 5.5Nemotron 3.5 Bolt E4B 4GBvsClaude Haiku 5.5Devstral SmallvsGPT-6.1 SolNemotron 3.5 Bolt E4B 4GBvsGPT-6.1 SolDevstral SmallvsGemini 4 ArgonNemotron 3.5 Bolt E4B 4GBvsGemini 4 ArgonDevstral SmallvsMuse Spark OpenNemotron 3.5 Bolt E4B 4GBvsMuse Spark OpenDevstral SmallvsGrok 4.7Nemotron 3.5 Bolt E4B 4GBvsGrok 4.7Devstral SmallvsDeepSeek-V4.1-Flash-1017Nemotron 3.5 Bolt E4B 4GBvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Devstral Small and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Devstral Small shipped 520 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.
Devstral Small has 24B parameters, while Nemotron 3.5 Bolt E4B 4GB has 8B.
Direct benchmark comparisons are unavailable — Devstral Small and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks.