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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
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introdu...
kimi-k2-thinking is a Reasoning model from Moonshot AI (CN). HotON.ai tracks it at $0.60 per 1M input tokens and $2.50 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-thinking is tracked at $0.60 per 1M input tokens and $2.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $2.02 per 1M tokens. Figures are illustrative demo data.
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
kimi-k2-thinking 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-thinking is cheaper than 40% of models on input price and ranks #384 of 535 by overall efficiency.
Yes — grok-4-1-fast-reasoning is a lower-cost option at $0.50 per 1M output tokens, while still covering similar Reasoning 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-thinking (Moonshot AI): $0.60/1M input, $2.50/1M output, as of 2026-05-10. https://hoton.ai/en/models/moonshotai-kimi-k2-thinkingPricing 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.