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Kimi K2 0711OPEN
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass.
Prices update automatically — checked daily against provider list prices.
- $1 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 15% of the 191 open-weight models tracked here
- 1 of 7 Moonshot AI models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Kimi K2 0711, measured by Artificial Analysis. Higher is better.
For the same budget, Kimi K2 0711 delivers 3.1 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $0.88 per 1M tokens (median of 23) — this one costs $1.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash · Gemini 3.7 Flash (batch) and 69 more
About this model
Kimi K2 0711 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 0711?
Kimi K2 0711 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 19.7 on the Artificial Analysis intelligence index.
Is Kimi K2 0711 free?
The weights are free and open — you can self-host Kimi K2 0711 and pay nothing per token. If you prefer a hosted API, list prices are $0.57 per million input tokens and $2.3 per million output tokens.
What is Kimi K2 0711 good at?
Independent benchmarks from Artificial Analysis give it GPQA 76.6%, MMLU-Pro 82.4%, Humanity's Last Exam 7.4%, Long Context Reasoning 53%, LiveCodeBench 55.6%, SciCode 34.5%, MATH-500 97.1%, AIME 69.3%, AIME 2025 57%, IFBench 41.5%, τ²-Bench 61.1%, Terminal-Bench Hard 15.9%. It is particularly used for mathematical reasoning.
Can I self-host Kimi K2 0711?
Yes. Kimi K2 0711 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.