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 | 0.5B/1.5B/7B/57B/72B |
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. | 128k | — |
| Overview | ||
| Company | Moonshot AI | Qwen |
| Release date | Apr 10 2025 | Jun 6 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Frequently asked questions
Kimi-VL and Qwen2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2 shipped 308 days before Kimi-VL, so benchmark comparisons should account for the intervening progress.
Kimi-VL has 16B parameters, while Qwen2 has 0.5B/1.5B/7B/57B/72B.
Direct benchmark comparisons are unavailable — Kimi-VL and Qwen2 don't publish scores on any of the same benchmarks.