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 | Dec 11 2023 | Oct 30 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Mistral MediumvsClaude Haiku 5.5Kimi LinearvsClaude Haiku 5.5Mistral MediumvsGPT-6.1 SolKimi LinearvsGPT-6.1 SolMistral MediumvsGemini 4 ArgonKimi LinearvsGemini 4 ArgonMistral MediumvsMuse Spark OpenKimi LinearvsMuse Spark OpenMistral MediumvsGrok 4.7Kimi LinearvsGrok 4.7Mistral MediumvsDeepSeek-V4.1-Flash-1017Kimi LinearvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Mistral Medium and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Medium shipped 689 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Mistral Medium) vs 1M (Kimi Linear). Mistral Medium is closed, while Kimi Linear is open weight.
Direct benchmark comparisons are unavailable — Mistral Medium and Kimi Linear don't publish scores on any of the same benchmarks.