vs
One table to see how kimi-k3 (Moonshot) and qwen3.8-max (Qwen) differ. On EasyAPI both use the same endpoint and the same key; only the model name changes.
Quick verdict
- qwen3.8-max has the lower input price, 43% cheaper than kimi-k3.
- qwen3.8-max has the lower output price, 66% cheaper than kimi-k3.
Specs and pricing side by side
| Dimension | kimi-k3 | qwen3.8-max |
|---|---|---|
| Provider | Moonshot | Qwen |
| Type | Text | Text |
| Input price | ¥15.8346 | ¥8.9732 |
| Output price | ¥79.1728 | ¥26.9196 |
| Cache read | ¥1.5835 | ¥0.7478 |
| Cache write | — | ¥1.8722 |
| Capabilities | 文本 · 多模态 | 文本 · 多模态 |
| Endpoints | 1 | 1 |
Platform prices per million tokens (image / video models use their own units); your invoice is authoritative.
kimi-k3
多模态推理模型，面向复杂编程、知识工作与长程 Agent 流程。擅长在大型代码库里调用工具、调试，并读取图像、日志与测试反馈来修正结果。
qwen3.8-max
Qwen3.8 系列旗舰推理模型，支持多模态输入，面向复杂推理、视觉理解、编程与 Agent 工作流。
FAQ
- Which is cheaper, kimi-k3 or qwen3.8-max?
- qwen3.8-max has the lower input price, 43% cheaper than kimi-k3.
- Can I call kimi-k3 and qwen3.8-max through the same API?
- Yes. Both are served through EasyAPI's OpenAI-compatible API. Point base_url at EasyAPI and swap the model name; no separate vendor accounts needed.