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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 2026-05-10 · Source: minimax_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...
minimax-01 is a Multimodal model from MiniMax (CN). HotON.ai tracks it at $0.20 per 1M input tokens and $1.10 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-01 is tracked at $0.20 per 1M input tokens and $1.10 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.88 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
minimax-01 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-01 is cheaper than 63% of models on input price and ranks #26 of 537 by overall efficiency.
Yes — grok-4.1-fast is a lower-cost option at $0.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — minimax-01 (MiniMax): $0.20/1M input, $1.10/1M output, as of 2026-05-10. https://hoton.ai/en/models/minimax-minimax-01Pricing 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.