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 | 32B |
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 | 128k |
| These models have no shared benchmark scores. | ||
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 63.4% |
| Overview | ||
| Company | Moonshot AI | Qwen |
| Release date | Oct 23 2026 | Mar 6 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Kimi K3.1 Pro HighspeedvsClaude Haiku 5.5QwQ-32BvsClaude Haiku 5.5Kimi K3.1 Pro HighspeedvsGPT-6.1 SolQwQ-32BvsGPT-6.1 SolKimi K3.1 Pro HighspeedvsGemini 4 ArgonQwQ-32BvsGemini 4 ArgonKimi K3.1 Pro HighspeedvsMuse Spark OpenQwQ-32BvsMuse Spark OpenKimi K3.1 Pro HighspeedvsGrok 4.7QwQ-32BvsGrok 4.7Kimi K3.1 Pro HighspeedvsDeepSeek-V4.1-Flash-1017QwQ-32BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Kimi K3.1 Pro Highspeed and QwQ-32B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. QwQ-32B shipped 596 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 QwQ-32B has 32B. Context windows are 1M (Kimi K3.1 Pro Highspeed) vs 128k (QwQ-32B). Kimi K3.1 Pro Highspeed is closed, while QwQ-32B is open weight.
Direct benchmark comparisons are unavailable — Kimi K3.1 Pro Highspeed and QwQ-32B don't publish scores on any of the same benchmarks.