Kimi K2: The Open-Source AI Model That Outperforms ChatGPT and Claude

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Introduction to Kimi K2

China’s Moonshot AI has dropped a bombshell with the release of Kimi K2, a brand-new, open-source, agentic giant that is already outperforming OpenAI’s GPT-4.1 and Anthropic’s Claude Opus 4 on core coding tasks—and it costs 90% less to run.

Key Features of Kimi K2

Kimi K2 boasts 1 trillion parameters, with 32 billion active parameters (MoE), and has achieved impressive results on various benchmarks, including 65.8% on SWE-Bench Verified and 53.7% on LiveCodeBench.

The model is available in two variants on GitHub and Hugging Face: Kimi-K2-Base, a raw 1-T checkpoint for researchers, and Kimi-K2-Instruct, a post-trained, chat-ready model that can write, test, and deploy full-stack code out of the box.

Benchmark Highlights

Kimi K2 has achieved impressive results on various benchmarks, including agentic coding, live coding, math, and science, as well as multilingual tasks.

Wallet-Friendly Pricing

Kimi K2 offers significantly lower pricing compared to Claude Opus 4 and GPT-4.1, with input tokens costing $0.15 per 1 million and output tokens costing $2.50 per 1 million.

Why Kimi K2 Matters

The release of Kimi K2 marks a significant milestone in the development of open-source AI, offering a frontier-grade, 1-trillion-parameter model to the world—for free.