vs
One table to see how kimi-k2.7-code (Moonshot AI) and qwen3.8-flash (Qwen) differ. On EasyAPI both use the same endpoint and the same key; only the model name changes.
Quick verdict
- qwen3.8-flash has the lower input price, 79% cheaper than kimi-k2.7-code.
- qwen3.8-flash has the lower output price, 85% cheaper than kimi-k2.7-code.
Specs and pricing side by side
| Dimension | kimi-k2.7-code | qwen3.8-flash |
|---|---|---|
| Provider | Moonshot AI | Qwen |
| Type | Text | Text |
| Input price | ¥4.503 | ¥0.9286 |
| Output price | ¥18.7046 | ¥2.7859 |
| Cache read | ¥0.9006 | ¥0.0929 |
| Cache write | ¥5.2964 | ¥1.1608 |
| 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-k2.7-code
Kimi K2 系列编程模型，接受文字与图像输入，默认开启思维链，适合长流程 Agent 编程与多轮调试。
qwen3.8-flash
Qwen3.8 系列 Flash 档，多模态推理，面向编程与 Agent 工作流，支持文档、代码库与长视频理解。
FAQ
- Which is cheaper, kimi-k2.7-code or qwen3.8-flash?
- qwen3.8-flash has the lower input price, 79% cheaper than kimi-k2.7-code.
- Can I call kimi-k2.7-code and qwen3.8-flash 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.