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 | >1T |
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 | 256k |
| Overview | ||
| Company | Moonshot AI | Qwen |
| Release date | Oct 30 2025 | Sep 24 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
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Kimi Linear and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen3-Max shipped 36 days before Kimi Linear, so benchmark comparisons should account for the intervening progress.
Kimi Linear has 48B parameters, while Qwen3-Max has >1T. Context windows are 1M (Kimi Linear) vs 256k (Qwen3-Max). Kimi Linear is open weight, while Qwen3-Max is closed.
Direct benchmark comparisons are unavailable — Kimi Linear and Qwen3-Max don't publish scores on any of the same benchmarks.