Model · Vendors

Xiaomi

Ranked models from this vendor or team on Global rankings (same data snapshot as the main global board).

🇨🇳 China

Board snapshot:

About this vendor

Xiaomi lists MiMo and related models on OpenRouter for on-device and cloud-assisted Chinese AI workloads. See MiMo ranks and snapshot pricing on this vendor page.

🇨🇳 China · Compare top models side-by-side →

Vendor snapshot

Catalog models 2
Ranked on Global board 2
Best rank #3
Price range (avg/1M) $0.21–$0.65/1M
Max context 1.1M ctx

Model types

  • LLM · 1
  • Multimodal · 1

Top ranked models

Compare top models side-by-side →

Models on this board · Global rankings

Rank Name Type Key metric 1M tokens (avg)
3 Xiaomi: MiMo-V2.5 Multimodal 1.1M ctx $0.21
61 Xiaomi: MiMo-V2.5-Pro LLM 1.1M ctx $0.65

Catalog models (not in ranking)

Rank Name Size Price Notes
Xiaomi: MiMo-V2.5 1.1M ctx $0.21/1M xiaomi/mimo-v2.5
Xiaomi: MiMo-V2.5-Pro 1.1M ctx $0.65/1M xiaomi/mimo-v2.5-pro
Data sources & methodology

Counts and prices come from the OpenRouter catalog snapshot merged with AI Hippo Global rankings (same snapshot as /rankings/). Rank reflects the composite score on that board—not LMSYS Chatbot Arena ELO. Snapshot date: 2026-08-02. Methodology

FAQ

What is Xiaomi's highest-ranked model?

Xiaomi: MiMo-V2.5 currently ranks #3 on AI Hippo's Global rankings board (snapshot 2026-08-02).

What does Xiaomi charge per 1M tokens?

Across catalog and ranked rows, blended 1M-token prices range from $0.21 to $0.65 in the latest snapshot (2026-08-02). Check individual model pages for prompt vs completion splits.

How many Xiaomi models are ranked vs catalog-only?

2 of 2 catalog models appear on Global rankings; the remaining 0 are listed under catalog-only on this page.

Can I compare Xiaomi models?

Yes—use the compare link on this page or open /en/compare/?m=Xiaomi%3A%20MiMo-V2.5&m=Xiaomi%3A%20MiMo-V2.5-Pro to side-by-side context, price, and composite score for the top ranked models.

How is the Global rankings score calculated?

Global rankings uses on-site weighting (context window first, then blended 1M-token price)—not third-party ELO. Full methodology: /en/methodology/

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