vs
One table to see how kimi-k2-thinking (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, 73% cheaper than kimi-k2-thinking.
- qwen3.8-flash has the lower output price, 80% cheaper than kimi-k2-thinking.
Specs and pricing side by side
| Dimension | kimi-k2-thinking | qwen3.8-flash |
|---|---|---|
| Provider | Moonshot AI | Qwen |
| Type | Text | Text |
| Input price | ¥3.4119 | ¥0.9272 |
| Output price | ¥14.2163 | ¥2.7817 |
| Cache read | ¥0.853 | ¥0.0927 |
| Cache write | ¥0 | ¥1.159 |
| Capabilities | 文本 | 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-thinking
开源思考型模型，擅长长链推理与连续工具调用，可稳定执行数百步自主研究、编码与多轮智能体任务，适合复杂分析与 Agent 工作流。
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-thinking or qwen3.8-flash?
- qwen3.8-flash has the lower input price, 73% cheaper than kimi-k2-thinking.
- Can I call kimi-k2-thinking 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.