{"slug": "nanbeige-releases-nanbeige4-3-33b-an-apache-2-0-teacher-model-for-smaller-agents", "title": "Nanbeige releases Nanbeige4.3-33B, an Apache 2.0 teacher model for smaller agents [N]", "summary": "Nanbeige released Nanbeige4.3-33B, a 33B-parameter teacher model for its planned smaller agents, including an upcoming 3B model, under Apache 2.0 weights with a 512K context window listed on the model card. Nanbeige reports the model scores 80.9 on Terminal-Bench 2.1 versus 73.0 for Qwen3.8-27B using the same harness and inference settings.", "body_md": "Nanbeige released Nanbeige4.3-33B as the teacher for its planned smaller agents, including an upcoming 3B model. the weights are Apache 2.0, and the model card lists a 512K context window. the team reports 80.9 on Terminal-Bench 2.1 versus 73.0 for Qwen3.8-27B, using the same harness and inference s", "url": "https://wpnews.pro/news/nanbeige-releases-nanbeige4-3-33b-an-apache-2-0-teacher-model-for-smaller-agents", "canonical_source": "https://aiflash.com/news/139528/", "published_at": "2026-10-26 01:00:03+00:00", "updated_at": "2026-10-26 01:11:33.110562+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "ai-research"], "entities": ["Nanbeige", "Nanbeige4.3-33B", "Qwen3.8-27B", "Terminal-Bench 2.1"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/nanbeige-releases-nanbeige4-3-33b-an-apache-2-0-teacher-model-for-smaller-agents", "markdown": "https://wpnews.pro/news/nanbeige-releases-nanbeige4-3-33b-an-apache-2-0-teacher-model-for-smaller-agents.md", "text": "https://wpnews.pro/news/nanbeige-releases-nanbeige4-3-33b-an-apache-2-0-teacher-model-for-smaller-agents.txt", "jsonld": "https://wpnews.pro/news/nanbeige-releases-nanbeige4-3-33b-an-apache-2-0-teacher-model-for-smaller-agents.jsonld"}}