vs
One table to see how minimax-m3.1-flash (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-m3.1-flash has the lower input price, 99% cheaper than qwen3.8-max.
- minimax-m3.1-flash has the lower output price, 82% cheaper than qwen3.8-max.
Specs and pricing side by side
| Dimension | minimax-m3.1-flash | qwen3.8-max |
|---|---|---|
| Provider | MiniMax | Qwen |
| Type | Text | Text |
| Input price | ¥0.095 | ¥7.2 |
| Output price | ¥3.8 | ¥21.6 |
| Cache read | ¥0.95 | ¥0.9 |
| Cache write | — | ¥9 |
| 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-m3.1-flash
MiniMax-M3.1-Flash 是 MiniMax 推出的原生多模态 Agent 模型，支持文本、图片和视频输入，输出文本，具备 100 万 token 上下文窗口。模型面向 Agent 推理、工具调用、编程和长上下文任务，支持交错思维链与可调思考深度。
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-m3.1-flash or qwen3.8-max?
- minimax-m3.1-flash has the lower input price, 99% cheaper than qwen3.8-max.
- Can I call minimax-m3.1-flash 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.