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. | — | 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. | 32k | 1M |
| Overview | ||
| Company | Mistral | Moonshot AI |
| Release date | Feb 26 2024 | Oct 30 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Mistral SmallvsClaude Haiku 5.5Kimi LinearvsClaude Haiku 5.5Mistral SmallvsGPT-6.1 SolKimi LinearvsGPT-6.1 SolMistral SmallvsGemini 4 ArgonKimi LinearvsGemini 4 ArgonMistral SmallvsMuse Spark OpenKimi LinearvsMuse Spark OpenMistral SmallvsGrok 4.7Kimi LinearvsGrok 4.7Mistral SmallvsDeepSeek-V4.1-Flash-1017Kimi LinearvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Mistral Small and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Small shipped 612 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Mistral Small) vs 1M (Kimi Linear). Mistral Small is closed, while Kimi Linear is open weight.
Direct benchmark comparisons are unavailable — Mistral Small and Kimi Linear don't publish scores on any of the same benchmarks.