Kimi K2.7 Code is a coding-focused agentic model built upon Kimi K2.6. With substantial improvements on real-world long-horizon coding tasks, it strengthens end-to-end task completion across complex software engineering workflows while improving token efficiency, reducing thinking-token usage by approximately 30% compared with Kimi K2.6....

Kimi K2.6 is an open-source, native multimodal agentic model by Moonshot AI, achieving open-source state-of-the-art on benchmarks including HLE with tools, SWE-Bench Pro, and BrowseComp. Built on a MoE architecture with 1T total parameters and 32B activated, the model supports a 256K-token context window and multimodal inputs (image and video) via its MoonViT vision encoder. K2.6 is optimized for agentic workloads: it sustains 4,000+ tool calls over 12+ hours of continuous execution, scales to 300 parallel sub-agents × 4,000 steps per run to produce 100+ files from a single prompt, and supports both Thinking and Instant inference modes with function calling and multi-turn Preserve Thinking...

Kimi K2.5 adalah model agen multimodal asli open-source yang dibangun melalui pelatihan berkelanjutan pada sekitar 15 triliun kombinasi token visual dan Text di atas Kimi-K2-Base. Dengan arsitektur MoE berparameter 1T (32B aktif) dan panjang konteks 256K, model ini memadukan pemahaman Vision dan bahasa secara mulus dengan kemampuan agenik canggih, mendukung kedua mode instan dan pemikiran, serta paradigma percakapan dan agenik....