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. | 2.8T | 0.5B/1.8B/4B/7B/14B/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. | 1M | 32k |
| Overview | ||
| Company | Moonshot AI | Qwen |
| Release date | Oct 23 2026 | Feb 4 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Kimi K3.1 Pro Highspeed and Qwen1.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen1.5 shipped 992 days before Kimi K3.1 Pro Highspeed, so benchmark comparisons should account for the intervening progress.
Kimi K3.1 Pro Highspeed has 2.8T parameters, while Qwen1.5 has 0.5B/1.8B/4B/7B/14B/72B. Context windows are 1M (Kimi K3.1 Pro Highspeed) vs 32k (Qwen1.5). Kimi K3.1 Pro Highspeed is closed, while Qwen1.5 is open weight.
Direct benchmark comparisons are unavailable — Kimi K3.1 Pro Highspeed and Qwen1.5 don't publish scores on any of the same benchmarks.