vs
One table to see how kimi-k2-instruct (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-instruct has the lower input price, 64% cheaper than qwen3.8-max.
- kimi-k2-instruct has the lower output price, 51% cheaper than qwen3.8-max.
Specs and pricing side by side
| Dimension | kimi-k2-instruct | qwen3.8-max |
|---|---|---|
| Provider | Moonshot AI | Qwen |
| Type | Text | Text |
| Input price | ¥3.2641 | ¥8.9598 |
| Output price | ¥13.079 | ¥26.8795 |
| Cache read | ¥0.6539 | ¥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-instruct
指令微调版本聚焦智能体工作流，工具调用稳定，中英编码与推理表现均衡，适合多轮工具链调度的编排场景。
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-instruct or qwen3.8-max?
- kimi-k2-instruct has the lower input price, 64% cheaper than qwen3.8-max.
- Can I call kimi-k2-instruct 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.