DeepSeek V4 Pro 0813 (DeepSeek) and MiMo-V2.5-Pro (Xiaomi) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 9 September 2026
As of 9 September 2026, DeepSeek V4 Pro 0813 holds the stronger ModelCap Index position (#25 vs #26); and MiMo-V2.5-Pro is 2× cheaper per output token ($0.87/1M vs $1.74/1M).
Evidence: 4 public benchmark observations across 4 boards · 5 public benchmark observations across 5 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: DeepSeek V4 Pro 0813 vs MiMo-V2.5-Pro
Public benchmark boards where DeepSeek V4 Pro 0813 or MiMo-V2.5-Pro has a published result
DeepSeek V4 Pro 0813 vs MiMo-V2.5-Pro: common questions
Is DeepSeek V4 Pro 0813 better than MiMo-V2.5-Pro?
DeepSeek V4 Pro 0813 ranks higher on the ModelCap Index as of 9 September 2026: #25 against #26. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is DeepSeek V4 Pro 0813 cheaper than MiMo-V2.5-Pro?
MiMo-V2.5-Pro is cheaper on output tokens: $0.87/1M against $1.74/1M. Input tokens are $0.579/1M for DeepSeek V4 Pro 0813 and $0.435/1M for MiMo-V2.5-Pro. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.03 for DeepSeek V4 Pro 0813 versus $1.30 for MiMo-V2.5-Pro. MiMo-V2.5-Pro costs 35.7% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, DeepSeek V4 Pro 0813 or MiMo-V2.5-Pro?
Both publish a 1M-token context window.
Which is better for coding, DeepSeek V4 Pro 0813 or MiMo-V2.5-Pro?
Arena coding: DeepSeek V4 Pro 0813 1505, MiMo-V2.5-Pro 1520 — MiMo-V2.5-Pro leads. AA Terminal-Bench 2.1: DeepSeek V4 Pro 0813 78.7%, MiMo-V2.5-Pro 65.2% — DeepSeek V4 Pro 0813 leads.
Are DeepSeek V4 Pro 0813 and MiMo-V2.5-Pro open-weight models?
DeepSeek V4 Pro 0813: Open weights. MiMo-V2.5-Pro: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run DeepSeek V4 Pro 0813 and MiMo-V2.5-Pro?
ModelCap currently lists 19 API providers for DeepSeek V4 Pro 0813 and 7 for MiMo-V2.5-Pro, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this DeepSeek V4 Pro 0813 vs MiMo-V2.5-Pro comparison?
Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.