MoonshotAI: Kimi K2 0711

by MoonshotAI

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.

Avg Score

86.2%

13 answers

Avg Latency

15.0s

9 runs

Pricing

Free

input

Free

output

per 1M tokens

Context

33K

tokens

Alternatives

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Other Models from MoonshotAI

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Model	Score	Latency	Cost/1M
MoonshotAI: Kimi K2 0905	87.5%	14.4s	$1.55
MoonshotAI: Kimi K2 0905	86.1%	43.5s	$1.15
MoonshotAI: Kimi K2 Thinking	83.0%	48.4s	$1.07
MoonshotAI: Kimi Dev 72B	53.1%	173.1s	$0.72
MoonshotAI: Kimi K2.5	—	—	$1.71

Benchmark Performance

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Score Over Time

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Quickstart

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import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "moonshotai/kimi-k2:free",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

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