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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
Source: litellm
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Moonshot V1 32K is a mid-context Moonshot generation model for longer chat and document workloads.
moonshot-v1-32k is a Text model from Moonshot / Kimi (CN). HotON.ai tracks it at $1.00 per 1M input tokens and $3.00 per 1M output tokens, with a 33K-token context window. Its composite efficiency score is 87/100 at an estimated $0.004 per successful task.
moonshot-v1-32k is tracked at $1.00 per 1M input tokens and $3.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $2.50 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.
moonshot-v1-32k supports up to a 33K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, moonshot-v1-32k is cheaper than 28% of models on input price and ranks #427 of 535 by overall efficiency.
Yes — minimax-m2.7 is a lower-cost option at $1.20 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 — moonshot-v1-32k (Moonshot / Kimi): $1.00/1M input, $3.00/1M output. https://hoton.ai/en/models/moonshotai-moonshot-v1-32kPricing 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.