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. | 1.8B/3.25B | — |
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 | Dec 6 2023 | Jun 10 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 NanovsClaude Haiku 5.5Magistral MediumvsClaude Haiku 5.5Gemini 1.0 NanovsGPT-6.1 SolMagistral MediumvsGPT-6.1 SolGemini 1.0 NanovsMuse Spark OpenMagistral MediumvsMuse Spark OpenGemini 1.0 NanovsGrok 4.7Magistral MediumvsGrok 4.7Gemini 1.0 NanovsDeepSeek-V4.1-Flash-1017Magistral MediumvsDeepSeek-V4.1-Flash-1017Gemini 1.0 NanovsKimi K3Magistral MediumvsKimi K3Frequently asked questions
Gemini 1.0 Nano and Magistral Medium don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Nano shipped 552 days before Magistral Medium, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Nano) vs 40k (Magistral Medium).
Direct benchmark comparisons are unavailable — Gemini 1.0 Nano and Magistral Medium don't publish scores on any of the same benchmarks.