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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: together_official_pricing
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
MiniMax M2.7 on Together is a long-context chat model for tools, coding, and production assistants.
MiniMaxAI/MiniMax-M2.7 is a Text model from Together AI (US). HotON.ai tracks it at $0.30 per 1M input tokens and $1.20 per 1M output tokens, with a 203K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
MiniMaxAI/MiniMax-M2.7 is tracked at $0.30 per 1M input tokens and $1.20 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.97 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.
MiniMaxAI/MiniMax-M2.7 supports up to a 203K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, MiniMaxAI/MiniMax-M2.7 is cheaper than 51% of models on input price and ranks #222 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 — MiniMaxAI/MiniMax-M2.7 (Together AI): $0.30/1M input, $1.20/1M output, as of 2026-05-10. https://hoton.ai/en/models/together-minimaxai-minimax-m2-7Pricing 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.