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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: siliconflow_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
SiliconFlow route for MiniMax M2.5, adding agentic coding model metadata and cache-read pricing.
MiniMaxAI/MiniMax-M2.5 is a Text model from SiliconFlow (CN). HotON.ai tracks it at $0.30 per 1M input tokens and $1.20 per 1M output tokens, with a 197K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
MiniMaxAI/MiniMax-M2.5 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-M2.5 supports up to a 197K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, MiniMaxAI/MiniMax-M2.5 is cheaper than 51% of models on input price and ranks #192 of 535 by overall efficiency.
Yes — deepseek-v4-flash is a lower-cost option at $0.28 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 — MiniMaxAI/MiniMax-M2.5 (SiliconFlow): $0.30/1M input, $1.20/1M output, as of 2026-05-11. https://hoton.ai/en/models/siliconflow-minimaxai-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.