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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: moonshot_kimi_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mix...
kimi-k2.5 is a Multimodal model from Moonshot AI (CN). HotON.ai tracks it at $0.38 per 1M input tokens and $1.72 per 1M output tokens, with a 262K-token context window. Its composite efficiency score is 90/100 at an estimated $0.002 per successful task.
kimi-k2.5 is tracked at $0.38 per 1M input tokens and $1.72 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.39 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
kimi-k2.5 supports up to a 262K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, kimi-k2.5 is cheaper than 50% of models on input price and ranks #97 of 537 by overall efficiency.
Yes — gemini-2.5-flash-lite-preview-09-2025 is a lower-cost option at $0.40 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 — kimi-k2.5 (Moonshot AI): $0.38/1M input, $1.72/1M output, as of 2026-05-10. https://hoton.ai/en/models/moonshotai-kimi-k2-5Pricing 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.