Moonshot AI's Kimi K2.6 coding model surpasses GPT-5.4 on SWE-Bench

Moonshot AI has released Kimi K2.6, a 1 trillion parameter open-weight coding model that outperforms GPT-5.4 on the SWE-Bench Pro benchmark. The model is designed for agentic tasks and supports a context window of 262,144 tokens, with multimodal capabilities including text, images, and pending video support. Kimi K2.6 is available under a Modified MIT License, which allows for commercial use up to certain thresholds, making it a competitive option for businesses compared to other models with more restrictive licenses. AI

IMPACT Sets a new standard for coding models, offering a cost-effective and high-performing alternative for agentic tasks.

RANK_REASON New frontier model release with system card and benchmark results. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

• Claude Opus 4.6
• Claude Opus 4.7
• DeepInfra
• Devstral
• GPT-5.4
• Kimi K2.6
• Llama 3
• Moonshot AI
• Ollama
• OpenRouter
• Open WebUI
• Qwen2.5-Coder
• SWE-Bench Pro

• model release
• product

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