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. | 9k | 1M |
| Overview | ||
| Company | Anthropic | Moonshot AI |
| Release date | Mar 14 2023 | Oct 30 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 1vsGPT-6.1 SolKimi LinearvsGPT-6.1 SolClaude 1vsGemini 4 ArgonKimi LinearvsGemini 4 ArgonClaude 1vsMuse Spark OpenKimi LinearvsMuse Spark OpenClaude 1vsGrok 4.7Kimi LinearvsGrok 4.7Claude 1vsDeepSeek-V4.1-Flash-1017Kimi LinearvsDeepSeek-V4.1-Flash-1017Claude 1vsMistral Large 4Kimi LinearvsMistral Large 4Frequently asked questions
Claude 1 and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 1 shipped 961 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 9k (Claude 1) vs 1M (Kimi Linear). Claude 1 is closed, while Kimi Linear is open weight.
Direct benchmark comparisons are unavailable — Claude 1 and Kimi Linear don't publish scores on any of the same benchmarks.