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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 2026-04-28 · Source: legacy_model_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attenti...
minimax-m1 is a Text model from MiniMax (CN). HotON.ai tracks it at $0.40 per 1M input tokens and $2.20 per 1M output tokens, with a 1000K-token context window. Its composite efficiency score is 95/100 at an estimated $0.002 per successful task.
minimax-m1 is tracked at $0.40 per 1M input tokens and $2.20 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.75 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-m1 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-m1 is cheaper than 47% of models on input price and ranks #31 of 537 by overall efficiency.
Yes — minimax-m2 is a lower-cost option at $1.00 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-m1 (MiniMax): $0.40/1M input, $2.20/1M output, as of 2026-04-28. https://hoton.ai/en/models/minimax-minimax-m1Pricing 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.