DeepSeek-V4-Pro-0813 vs MiMo-V2.5-Pro
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. DeepSeek-V4-Pro-0813 and MiMo-V2.5-Pro cost the same.
DeepSeek · Xiaomi · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while MiMo-V2.5-Pro is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
Choose MiMo-V2.5-Pro
- you want predictable pricing at $0.43/M input and $0.87/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while MiMo-V2.5-Pro is better at 0 benchmarks.
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) costs the same as MiMo-V2.5-Pro ($0.43/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) costs the same as MiMo-V2.5-Pro ($0.87/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 and MiMo-V2.5-Pro cost the same.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 576.8B more parameters than MiMo-V2.5-Pro, making it 56.4% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while MiMo-V2.5-Pro is limited to 131,072 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while MiMo-V2.5-Pro was released on 2026-04-27.
DeepSeek-V4-Pro-0813 is 4 months newer than MiMo-V2.5-Pro.
Aug 13, 2026
1 weeks ago
3mo newerApr 27, 2026
4 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.
DeepSeek-V4-Pro-0813
MiMo-V2.5-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs MiMo-V2.5-Pro.