vs
One table to see how minimax-m3 (MiniMax) and qwen3.8-max (Qwen) differ. On EasyAPI both use the same endpoint and the same key; only the model name changes.
Quick verdict
- minimax-m3 has the lower input price, 24% cheaper than qwen3.8-max.
- qwen3.8-max has the lower output price, 2% cheaper than minimax-m3.
Specs and pricing side by side
| Dimension | minimax-m3 | qwen3.8-max |
|---|---|---|
| Provider | MiniMax | Qwen |
| Type | Text | Text |
| Input price | ¥6.8238 | ¥8.9598 |
| Output price | ¥27.2952 | ¥26.8795 |
| Cache read | ¥0.6824 | ¥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.
minimax-m3
MiniMax 系列首款多模态版本,支持图像与视频输入。长上下文推理成本更低、响应更快,可胜任多步 Agent 流程与 Computer Use 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, minimax-m3 or qwen3.8-max?
- minimax-m3 has the lower input price, 24% cheaper than qwen3.8-max.
- Can I call minimax-m3 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.