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 | 128k |
| Overview | ||
| Company | Moonshot AI | SpaceXSI |
| Release date | Oct 30 2025 | Aug 14 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Kimi LinearvsClaude Haiku 5.5Grok‑2vsClaude Haiku 5.5Kimi LinearvsGPT-6.1 SolGrok‑2vsGPT-6.1 SolKimi LinearvsGemini 4 ArgonGrok‑2vsGemini 4 ArgonKimi LinearvsMuse Spark OpenGrok‑2vsMuse Spark OpenKimi LinearvsDeepSeek-V4.1-Flash-1017Grok‑2vsDeepSeek-V4.1-Flash-1017Kimi LinearvsMistral Large 4Grok‑2vsMistral Large 4Frequently asked questions
Kimi Linear and Grok‑2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok‑2 shipped 442 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Kimi Linear) vs 128k (Grok‑2). Kimi Linear is open weight, while Grok‑2 is closed.
Direct benchmark comparisons are unavailable — Kimi Linear and Grok‑2 don't publish scores on any of the same benchmarks.