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Real human-preference Elo from LMArena blind head-to-head votes. Higher is better; — means not yet ranked in that arena. This is measured, not our estimate.
Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: xiaomi_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like...
mimo-v2-pro is a Text model from Xiaomi (CN). HotON.ai tracks it at $1.00 per 1M input tokens and $3.00 per 1M output tokens, with a 1049K-token context window. Its composite efficiency score is 95/100 at an estimated $0.004 per successful task.
mimo-v2-pro is tracked at $1.00 per 1M input tokens and $3.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $2.50 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
mimo-v2-pro 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-pro is cheaper than 28% of models on input price and ranks #43 of 535 by overall efficiency.
Yes — minimax-m2.1 is a lower-cost option at $0.95 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — mimo-v2-pro (Xiaomi): $1.00/1M input, $3.00/1M output, as of 2026-05-11. https://hoton.ai/en/models/xiaomi-mimo-v2-proPricing 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.