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. | — | 7B |
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 | 2k |
| Overview | ||
| Company | Moonshot AI | Qwen |
| Release date | Jan 20 2025 | Aug 3 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Kimi K1.5vsClaude Haiku 5.5Qwen-7BvsClaude Haiku 5.5Kimi K1.5vsGPT-6.1 TerraQwen-7BvsGPT-6.1 TerraKimi K1.5vsGemini 4 CarbonQwen-7BvsGemini 4 CarbonKimi K1.5vsMuse Spark OpenQwen-7BvsMuse Spark OpenKimi K1.5vsGrok 4.7Qwen-7BvsGrok 4.7Kimi K1.5vsDeepSeek-V4.1-Flash-1017Qwen-7BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Kimi K1.5 and Qwen-7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen-7B shipped 536 days before Kimi K1.5, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Kimi K1.5) vs 2k (Qwen-7B). Kimi K1.5 is closed, while Qwen-7B is open weight.
Direct benchmark comparisons are unavailable — Kimi K1.5 and Qwen-7B don't publish scores on any of the same benchmarks.