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 | 16B |
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 | 128k |
| Overview | ||
| Company | Mistral | Moonshot AI |
| Release date | Jun 10 2025 | Apr 10 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Magistral SmallvsClaude Haiku 5.5Kimi-VLvsClaude Haiku 5.5Magistral SmallvsGPT-6.1 SolKimi-VLvsGPT-6.1 SolMagistral SmallvsGemini 4 ArgonKimi-VLvsGemini 4 ArgonMagistral SmallvsMuse Spark OpenKimi-VLvsMuse Spark OpenMagistral SmallvsGrok 4.7Kimi-VLvsGrok 4.7Magistral SmallvsDeepSeek-V4.1-Flash-1017Kimi-VLvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Magistral Small and Kimi-VL don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Kimi-VL shipped 61 days before Magistral Small, so benchmark comparisons should account for the intervening progress.
Magistral Small has 24B parameters, while Kimi-VL has 16B. Context windows are 40k (Magistral Small) vs 128k (Kimi-VL). Magistral Small is closed, while Kimi-VL is open weight.
Direct benchmark comparisons are unavailable — Magistral Small and Kimi-VL don't publish scores on any of the same benchmarks.