Qwen Plus 0728 (thinking) vs MiMo-V2.5-Pro
A side-by-side comparison of two llm models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Qwen Plus 0728 (thinking) vs MiMo-V2.5-Pro: side by side
| Spec | Qwen Plus 0728 (thinking) | MiMo-V2.5-Pro | Winner |
|---|---|---|---|
| Intelligence | — | 35.6 | Tie |
| Output speed | — | 52 t/s | Tie |
| Output price | $0.78/1M | $0.87/1M | Qwen Plus 0728 (thinking) |
| Context | 1000K | 1049K | MiMo-V2.5-Pro |
| Params | — | — | Tie |
| Type | Open-weight | Proprietary | Tie |
| Provider | Alibaba Qwen | Xiaomi | Tie |
Qwen Plus 0728 (thinking)
Pros
- +Strong Chinese-English bilingual performance
- +Effective handling of very long inputs
- +Solid technical and coding assistance
- +Clear step-by-step reasoning style
Cons
- –Text-only modality
- –May still hallucinate on niche facts
- –Performance varies across domains
MiMo-V2.5-Pro
Pros
- +Supports up to 1M token context
- +Strong at processing large text inputs
- +Suitable for long-form tasks
- +Pure text LLM focus
Cons
- –Text modality only
- –No vision or multimodal support
- –Large context may increase latency
Frequently asked questions
It depends on your needs. Qwen Plus 0728 (thinking) and MiMo-V2.5-Pro are both llm models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.