Kimi K2 0711

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. It is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. Kimi K2 excels across a broad range of benchmarks, particularly in coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) tasks. It supports long-context inference up to 128K tokens and is designed with a novel training stack that includes the MuonClip optimizer for stable large-scale MoE training.

ChatMoonshot131k tokens$0.6213 / $2.5071 · 1M

moonshotai/kimi-k2

Context
131k tokens
Completion cap
100,352
Tools
Yes
JSON
No
Released
2025-07-11

Call it from Geek Hub

Same OpenAI SDK. Change the base URL and the model id.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshotai/kimi-k2",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is Kimi K2 0711?
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. It is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. Kimi K2 excels across a broad range of benchmarks, particularly in coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) tasks. It supports long-context inference up to 128K tokens and is designed with a novel training stack that includes the MuonClip optimizer for stable large-scale MoE training. Kimi K2 0711 runs on the Geek Hub API (OpenAI-compatible). Model id: moonshotai/kimi-k2.
Is Kimi K2 0711 free?
No. Input is $0.6213 per 1M tokens and output is $2.5071 per 1M tokens on Geek Hub (markup included).
What is the context length of Kimi K2 0711?
Kimi K2 0711 has a 131k tokens context window. It supports up to 100,352 completion tokens.
Does Kimi K2 0711 support tool calling and structured outputs?
Kimi K2 0711 accepts tools and tool_choice for function calling. Structured outputs are not listed for this endpoint.
When was Kimi K2 0711 released?
Kimi K2 0711 was released on 2025-07-11.

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