MoonshotAI: Kimi K2 0711

moonshotai/kimi-k2

Released Jul 11, 2025131,000 context

$0.55/M input tokens$2.20/M output tokens

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.

Providers for Kimi K2 0711

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Performance for Kimi K2 0711

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Effective Pricing for Kimi K2 0711

Actual cost per million tokens across providers over the past hour

Apps using Kimi K2 0711

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Prompt

1.05B

Completion

41M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Kimi K2 0711

Uptime stats for Kimi K2 0711 across all providers

Sample code and API for Kimi K2 0711

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OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

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Using third-party SDKs

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See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

Kimi K2 0711 - API Pricing & Providers | OpenRouter