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 | 47B |
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 | 32k |
| 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 | Mistral |
| Release date | May 21 2025 | Dec 8 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Devstral SmallvsClaude Haiku 5.5Mixtral 8×7BvsClaude Haiku 5.5Devstral SmallvsGPT-6.1 SolMixtral 8×7BvsGPT-6.1 SolDevstral SmallvsGemini 4 ArgonMixtral 8×7BvsGemini 4 ArgonDevstral SmallvsMuse Spark OpenMixtral 8×7BvsMuse Spark OpenDevstral SmallvsGrok 4.7Mixtral 8×7BvsGrok 4.7Devstral SmallvsDeepSeek-V4.1-Flash-1017Mixtral 8×7BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Devstral Small and Mixtral 8×7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×7B shipped 530 days before Devstral Small, so benchmark comparisons should account for the intervening progress.
Devstral Small has 24B parameters, while Mixtral 8×7B has 47B. Context windows are 128k (Devstral Small) vs 32k (Mixtral 8×7B).
Direct benchmark comparisons are unavailable — Devstral Small and Mixtral 8×7B don't publish scores on any of the same benchmarks.