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Kimi K2.6OPEN
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration.
Prices update automatically — checked daily against provider list prices.
- $1.71 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 7% of the 191 open-weight models tracked here
- 6 of 7 Moonshot AI models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Kimi K2.6, measured by Artificial Analysis. Higher is better.
For the same budget, Kimi K2.6 delivers 4.2 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $2.41 per 1M tokens (median of 6) — this one costs $1.71.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash · Gemini 3.7 Flash (batch) and 12 more
About this model
Kimi K2.6 is an open-weight AI model by Moonshot AI. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is Kimi K2.6?
Kimi K2.6 is an AI language model from Moonshot AI. It is open-weight: you can download it and run it on your own hardware, for free. It scores 45.1 on the Artificial Analysis intelligence index.
Is Kimi K2.6 free?
The weights are free and open — you can self-host Kimi K2.6 and pay nothing per token. If you prefer a hosted API, list prices are $0.95 per million input tokens and $4 per million output tokens.
What is Kimi K2.6 good at?
Independent benchmarks from Artificial Analysis give it GPQA 91.1%, Humanity's Last Exam 37.5%, Long Context Reasoning 76.7%, SciCode 53.5%, IFBench 76%, τ²-Bench 95.9%, τ-Bench Banking 23.3%, Terminal-Bench 65.9%, Terminal-Bench Hard 43.9%. It is particularly used for code generation.
Can I self-host Kimi K2.6?
Yes. Kimi K2.6 has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.