vs
One table to see how kimi-k2-thinking (Moonshot AI) and qwen3.8-max (Qwen) differ. On EasyAPI both use the same endpoint and the same key; only the model name changes.
Quick verdict
- kimi-k2-thinking has the lower input price, 62% cheaper than qwen3.8-max.
- kimi-k2-thinking has the lower output price, 47% cheaper than qwen3.8-max.
Specs and pricing side by side
| Dimension | kimi-k2-thinking | qwen3.8-max |
|---|---|---|
| Provider | Moonshot AI | Qwen |
| Type | Text | Text |
| Input price | ¥3.4119 | ¥8.9598 |
| Output price | ¥14.2163 | ¥26.8795 |
| Cache read | ¥0.853 | ¥0.7467 |
| Cache write | ¥0 | ¥1.8694 |
| 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-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-k2-thinking or qwen3.8-max?
- kimi-k2-thinking has the lower input price, 62% cheaper than qwen3.8-max.
- Can I call kimi-k2-thinking 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.