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Real human-preference Elo from LMArena blind head-to-head votes. Higher is better; — means not yet ranked in that arena. This is measured, not our estimate.
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
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Kimi K2.6 is Moonshot's current multimodal flagship for long-context coding, reasoning, image/video input, and agent workflows.
kimi-k2.6 is a Multimodal model from Moonshot / Kimi (CN). HotON.ai tracks it at $0.95 per 1M input tokens and $4.00 per 1M output tokens, with a 262K-token context window. Its composite efficiency score is 89/100 at an estimated $0.004 per successful task.
kimi-k2.6 is tracked at $0.95 per 1M input tokens and $4.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $3.24 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
kimi-k2.6 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-k2.6 is cheaper than 31% of models on input price and ranks #129 of 535 by overall efficiency.
Yes — grok-4-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.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — kimi-k2.6 (Moonshot / Kimi): $0.95/1M input, $4.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/moonshotai-kimi-k2-6Pricing 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.