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 | 48B |
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. | 40k | 1M |
| Overview | ||
| Company | Mistral | Moonshot AI |
| Release date | Jun 10 2025 | Oct 30 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Magistral SmallvsClaude Haiku 5.5Kimi LinearvsClaude Haiku 5.5Magistral SmallvsGPT-6.1 SolKimi LinearvsGPT-6.1 SolMagistral SmallvsGemini 4 ArgonKimi LinearvsGemini 4 ArgonMagistral SmallvsMuse Spark OpenKimi LinearvsMuse Spark OpenMagistral SmallvsGrok 4.7Kimi LinearvsGrok 4.7Magistral SmallvsDeepSeek-V4.1-Flash-1017Kimi LinearvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Magistral Small and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Magistral Small shipped 142 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Magistral Small has 24B parameters, while Kimi Linear has 48B. Context windows are 40k (Magistral Small) vs 1M (Kimi Linear). Magistral Small is closed, while Kimi Linear is open weight.
Direct benchmark comparisons are unavailable — Magistral Small and Kimi Linear don't publish scores on any of the same benchmarks.