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. | — | 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. | 32k | 32k |
| Overview | ||
| Company | Mistral | Mistral |
| Release date | Feb 26 2024 | Dec 8 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Mistral SmallvsClaude Haiku 5.5Mixtral 8×7BvsClaude Haiku 5.5Mistral SmallvsGPT-6.1 SolMixtral 8×7BvsGPT-6.1 SolMistral SmallvsGemini 4 ArgonMixtral 8×7BvsGemini 4 ArgonMistral SmallvsMuse Spark OpenMixtral 8×7BvsMuse Spark OpenMistral SmallvsGrok 4.7Mixtral 8×7BvsGrok 4.7Mistral SmallvsDeepSeek-V4.1-Flash-1017Mixtral 8×7BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Mistral 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 80 days before Mistral Small, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Mistral Small) vs 32k (Mixtral 8×7B). Mistral Small is closed, while Mixtral 8×7B is open weight.
Direct benchmark comparisons are unavailable — Mistral Small and Mixtral 8×7B don't publish scores on any of the same benchmarks.