Kimi K2.6

• 🧠 Trillion-parameter MoE, only 32B active per token^2
• 🆕 Native multimodal agentic model from Moonshot AI^1,2
• 📏 256K context window, native INT4 quantization^2
• 👁️ Vision integrated via 400M MoonViT encoder^2
• 🔧 Built for agent-swarm orchestration and tool use^2
• 💬 Thinking and non-thinking modes; preserves reasoning^1
• 📚 Open weights under Modified MIT License^2
• 🎯 Targets long-horizon coding and autonomous execution^2

Moonshot

Moonshot is an AI research lab known for developing the Kimi family of large language models. The organization has gained recognition for building capable reasoning-oriented models, with the Kimi line representing its flagship series of text generation…

Kimi K2.6 is Moonshot AI's open-weight, native multimodal agentic model, released April 20, 2026 and built on a sparse Mixture-of-Experts architecture.^2 It carries 1 trillion total parameters but activates only about 32 billion per token.^2 Vision is integrated architecturally through a 400M-parameter MoonViT encoder, letting the model accept text and images.^2 It exposes a 256K-token context window and ships with INT4 quantization.^2

Compared with its same-family predecessor Kimi K2.5, K2.6 retains the trillion-parameter MoE design and 256K context window while shifting its focus toward long-horizon coding, coding-driven design, and agent-swarm orchestration. Both belong to Moonshot's Kimi K series, and K2.6 is positioned as the newer iteration aimed at proactive, autonomous multi-step execution.

The model supports function calling, web search, and a mode that preserves reasoning across multi-turn interactions, alongside separate thinking and non-thinking responses.^1 Its open weights are distributed under a Modified MIT License,^2 and it is available through Hugging Face and inference providers.^1,2

Within the broader lineage, Moonshot later shipped the coding-focused Kimi K2.7 Code in a separate family. K2.6 remains aimed at developers who need open weights, a large context window, and large-scale agent orchestration.