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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: moonshot_kimi_official_pricing
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Kimi K2 0905 is the September update of Kimi K2 0711. It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...
kimi-k2-0905 is a Text model from Moonshot AI (CN). HotON.ai tracks it at $0.40 per 1M input tokens and $2.00 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
kimi-k2-0905 is tracked at $0.40 per 1M input tokens and $2.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.60 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.
kimi-k2-0905 supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, kimi-k2-0905 is cheaper than 46% of models on input price and ranks #344 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 — kimi-k2-0905 (Moonshot AI): $0.40/1M input, $2.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/moonshotai-kimi-k2-0905Pricing 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.