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 |
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 | 40k |
| Overview | ||
| Company | Mistral | |
| Release date | Feb 8 2024 | Jun 10 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 UltravsClaude Haiku 5.5Magistral SmallvsClaude Haiku 5.5Gemini 1.0 UltravsGPT-6.1 SolMagistral SmallvsGPT-6.1 SolGemini 1.0 UltravsMuse Spark OpenMagistral SmallvsMuse Spark OpenGemini 1.0 UltravsGrok 4.7Magistral SmallvsGrok 4.7Gemini 1.0 UltravsDeepSeek-V4.1-Flash-1017Magistral SmallvsDeepSeek-V4.1-Flash-1017Gemini 1.0 UltravsKimi K3Magistral SmallvsKimi K3Frequently asked questions
Gemini 1.0 Ultra and Magistral Small don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Ultra shipped 488 days before Magistral Small, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Ultra) vs 40k (Magistral Small).
Direct benchmark comparisons are unavailable — Gemini 1.0 Ultra and Magistral Small don't publish scores on any of the same benchmarks.