{"slug": "micius-flash-lightweight-agentic-intelligence-for-engineering", "title": "Micius-Flash: Lightweight Agentic Intelligence for Engineering", "summary": "A 27-billion-parameter engineering model called Micius-Flash was introduced with native multimodal input, deep reasoning and a 256K-token context window. The model is built on a Micius data pipeline described as a knowledge-tree-driven data flywheel with three stages, beginning with knowledge tree construction and expansion. The release targets engineering workloads with a lightweight agentic design.", "body_md": "We introduce Micius-Flash, a 27-billion-parameter model for engineering with native multimodal input, deep reasoning and a 256K-token context window. We design the Micius data pipeline as a knowledge-tree-driven data flywheel comprising three stages: knowledge tree construction and expansion, data s", "url": "https://wpnews.pro/news/micius-flash-lightweight-agentic-intelligence-for-engineering", "canonical_source": "https://aiflash.com/news/149753/", "published_at": "2026-11-11 13:00:05+00:00", "updated_at": "2026-11-11 13:23:38.164333+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "ai-research"], "entities": ["Micius-Flash", "Micius"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/micius-flash-lightweight-agentic-intelligence-for-engineering", "markdown": "https://wpnews.pro/news/micius-flash-lightweight-agentic-intelligence-for-engineering.md", "text": "https://wpnews.pro/news/micius-flash-lightweight-agentic-intelligence-for-engineering.txt", "jsonld": "https://wpnews.pro/news/micius-flash-lightweight-agentic-intelligence-for-engineering.jsonld"}}