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. | 1M | 1M |
| Overview | ||
| Company | Moonshot AI | SpaceXSI |
| Release date | Oct 30 2025 | Feb 17 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Kimi LinearvsClaude Haiku 5.5Grok 3vsClaude Haiku 5.5Kimi LinearvsGPT-6.1 SolGrok 3vsGPT-6.1 SolKimi LinearvsGemini 4 ArgonGrok 3vsGemini 4 ArgonKimi LinearvsMuse Spark OpenGrok 3vsMuse Spark OpenKimi LinearvsDeepSeek-V4.1-Flash-1017Grok 3vsDeepSeek-V4.1-Flash-1017Kimi LinearvsMistral Large 4Grok 3vsMistral Large 4Frequently asked questions
Kimi Linear and Grok 3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok 3 shipped 255 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Kimi Linear) vs 1M (Grok 3). Kimi Linear is open weight, while Grok 3 is closed.
Direct benchmark comparisons are unavailable — Kimi Linear and Grok 3 don't publish scores on any of the same benchmarks.