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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: xiaomi_reference_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
OpenRouter current route for Xiaomi MiMo V2.5 multimodal text, image, audio and video inputs, tracked for China-region supplier prefill.
mimo-v2.5 is a Multimodal model from Xiaomi (CN). HotON.ai tracks it at $0.40 per 1M input tokens and $2.00 per 1M output tokens, with a 1049K-token context window. Its composite efficiency score is 95/100 at an estimated $0.002 per successful task.
mimo-v2.5 is tracked at $0.40 per 1M input tokens and $2.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.60 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
mimo-v2.5 supports up to a 1049K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, mimo-v2.5 is cheaper than 47% of models on input price and ranks #29 of 537 by overall efficiency.
Yes — gemini-2.5-flash-lite-preview-09-2025 is a lower-cost option at $0.40 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — mimo-v2.5 (Xiaomi): $0.40/1M input, $2.00/1M output, as of 2026-05-11. https://hoton.ai/en/models/xiaomi-mimo-v2-5Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.