DeepSeek V4 Pro 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.
Quick verdict: which should you choose?
Choose DeepSeek V4 Pro if you need
- ✓higher intelligence and coding/STEM performance (51.5 index)
- ✓faster generation at 79.81 tokens per second
- ✓open-weight model for local or custom deployment
- ✓clear, structured outputs on technical tasks
Choose MiMo-V2.5-Pro if you need
- ✓proprietary Xiaomi-hosted deployment
- ✓focus on long-form text processing at 1M context
- ✓identical per-token pricing to DeepSeek
- ✓pure text modality without additional features
Verdict
DeepSeek V4 Pro leads with a substantially higher intelligence_index (51.5 vs 35.6) and nearly 50% faster output speed while matching MiMo-V2.5-Pro on price and 1M-token context. It also offers open-weight access and documented strengths in coding and STEM tasks. MiMo-V2.5-Pro remains a viable proprietary alternative only when users specifically need Xiaomi's ecosystem or long-form text processing without performance benchmarks.
DeepSeek V4 Pro vs MiMo-V2.5-Pro: side by side
| Spec | DeepSeek V4 Pro | MiMo-V2.5-Pro | Winner |
|---|---|---|---|
| Intelligence | 51.5 | 35.6 | DeepSeek V4 Pro |
| Output speed | 80 t/s | 52 t/s | DeepSeek V4 Pro |
| Output price | $0.87/1M | $0.87/1M | Tie |
| Context | 1049K | 1049K | Tie |
| Params | — | — | Tie |
| Type | Open-weight | Proprietary | Tie |
| Provider | DeepSeek | Xiaomi | Tie |
Detailed analysis
Intelligence
Winner: DeepSeek V4 ProDeepSeek V4 Pro scores 51.5 on the intelligence_index compared with MiMo-V2.5-Pro's 35.6. Its listed strengths explicitly include strong coding performance and technical/STEM domains, while MiMo lists only general long-text handling.
Speed
Winner: DeepSeek V4 ProDeepSeek V4 Pro outputs at 79.81 tokens per second versus MiMo-V2.5-Pro's 52.2 t/s. Both share the same 1M context length, so the speed difference directly affects throughput on large inputs.
Pricing & Context
Winner: TieBoth models charge $0.87 per million output tokens and support exactly 1,048,576-token contexts. No pricing or context-length advantage exists for either.
Access & Modality
Winner: DeepSeek V4 ProDeepSeek V4 Pro is open-weight while MiMo-V2.5-Pro is proprietary. Both are text-only with no vision or real-time capabilities listed.
DeepSeek V4 Pro
Pros
- +Strong performance on coding tasks
- +Effective handling of very long inputs
- +Clear and structured outputs
- +Good at technical and STEM domains
Cons
- –Text-only modality
- –No real-time information access
- –Can produce hallucinations on facts
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
Summary: DeepSeek V4 Pro vs MiMo-V2.5-Pro
Select DeepSeek V4 Pro when intelligence, speed, or open weights matter. Choose MiMo-V2.5-Pro only if a proprietary Xiaomi solution is required and lower measured performance is acceptable. Both are otherwise comparable on cost and context size.
Frequently asked questions
DeepSeek V4 Pro is stronger on the provided intelligence_index and speed metrics plus open-weight access.