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 | |
| Release date | Feb 15 2024 | Oct 30 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
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Gemini 1.5 Pro and Kimi Linear don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Pro shipped 623 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 1.5 Pro) vs 1M (Kimi Linear). Gemini 1.5 Pro is closed, while Kimi Linear is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.5 Pro and Kimi Linear don't publish scores on any of the same benchmarks.