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. | — | 16B |
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. | 2M | 128k |
| Overview | ||
| Company | Moonshot AI | |
| Release date | Feb 5 2025 | Apr 10 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
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Gemini 2.0 Pro and Kimi-VL don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 2.0 Pro shipped 64 days before Kimi-VL, so benchmark comparisons should account for the intervening progress.
Context windows are 2M (Gemini 2.0 Pro) vs 128k (Kimi-VL). Gemini 2.0 Pro is closed, while Kimi-VL is open weight.
Direct benchmark comparisons are unavailable — Gemini 2.0 Pro and Kimi-VL don't publish scores on any of the same benchmarks.