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Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: minimax_official_pricing
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
minimax-m2.5 is a Text model from MiniMax (CN). HotON.ai tracks it at $0.12 per 1M input tokens and $0.99 per 1M output tokens, with a 1000K-token context window. Its composite efficiency score is 96/100 at an estimated $0.001 per successful task.
minimax-m2.5 is tracked at $0.12 per 1M input tokens and $0.99 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.77 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.
minimax-m2.5 supports up to a 1000K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, minimax-m2.5 is cheaper than 77% of models on input price and ranks #22 of 537 by overall efficiency.
Yes — qwen-plus-2025-07-28 is a lower-cost option at $0.78 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — minimax-m2.5 (MiniMax): $0.12/1M input, $0.99/1M output, as of 2026-05-10. https://hoton.ai/en/models/minimax-minimax-m2-5Pricing 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.