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. | — | >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. | 128k | 256k |
| Overview | ||
| Company | Moonshot AI | Qwen |
| Release date | Jan 20 2025 | Sep 24 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Kimi K1.5vsClaude Haiku 5.5Qwen3-MaxvsClaude Haiku 5.5Kimi K1.5vsGPT-6.1 TerraQwen3-MaxvsGPT-6.1 TerraKimi K1.5vsGemini 4 CarbonQwen3-MaxvsGemini 4 CarbonKimi K1.5vsMuse Spark OpenQwen3-MaxvsMuse Spark OpenKimi K1.5vsGrok 4.7Qwen3-MaxvsGrok 4.7Kimi K1.5vsDeepSeek-V4.1-Flash-1017Qwen3-MaxvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Kimi K1.5 and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Kimi K1.5 shipped 247 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Kimi K1.5) vs 256k (Qwen3-Max).
Direct benchmark comparisons are unavailable — Kimi K1.5 and Qwen3-Max don't publish scores on any of the same benchmarks.