Capabilities
7-day heat trend
−23.2%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 17% of tracked models
- Faster than 3% of tracked models
- Efficiency rank: #689 of 1105
Best suited for
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
About kimi-k2-thinking
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, ~120 tokens/sec throughput and 97.5% availability. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
Compare kimi-k2-thinking
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Frequently asked questions
How much does kimi-k2-thinking cost per 1M tokens?+
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.
What is kimi-k2-thinking best for?+
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
How fast is kimi-k2-thinking?+
kimi-k2-thinking delivers about 120 tokens/sec with 97.5% tracked availability, suitable for latency-sensitive, real-time applications.
Is kimi-k2-thinking cheaper than other AI models?+
Within the HotON.ai tracked set, kimi-k2-thinking is cheaper than 17% of models on input price and ranks #689 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.