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Nanbeige LLM Lab releases 33B agentic coding model with 512K context

Nanbeige LLM Lab, a division of BOSS Zhipin, has released Nanbeige4.3-33B, a 33 billion parameter open-source language model. This model is designed for agentic coding and professional "cowork" tasks, featuring a substantial 524,288-token context window. In internal benchmarks, Nanbeige4.3-33B reportedly outperforms several comparable open models on 17 out of 20 tasks, including a score of 80.9 on Terminal-Bench 2.1, though it trails Qwen3.8-27B on SWE-Bench Pro. The lab plans to use this model as a teacher for distilling agentic skills into smaller models. AI

IMPACT This release offers a new open-source option for agentic coding tasks, potentially influencing the development of AI agents and developer tools.

RANK_REASON Frontier-lab model release with system card and benchmark data. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Nanbeige LLM Lab releases 33B agentic coding model with 512K context

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48 / 100
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Significant
Frontier-lab model release with system card and benchmark data. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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2 independent sources
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model release, product
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High
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Breaking (< 6h)
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COVERAGE [2]

  1. MarkTechPost TIER_1 Deutsch(DE) · Asif Razzaq ·

    Nanbeige Releases Nanbeige4.3-33B, a 33B Open Agentic Coding Model

    <p>Nanbeige LLM Lab released Nanbeige4.3-33B, a 33B dense Apache 2.0 model with 512K context. It reports 80.9 on Terminal-Bench 2.1 and will teach the upcoming Nanbeige4.3-3B.</p> <p>The post <a href="https://www.marktechpost.com/2026/10/25/nanbeige-releases-nanbeige4-3-33b-open-…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Nanbeige LLM Lab has released Nanbeige4.3-33B, an open Apache 2.0 model aimed at agentic coding and professional cowork tasks. The 33B dense model carries 512K

    Nanbeige LLM Lab has released Nanbeige4.3-33B, an open Apache 2.0 model aimed at agentic coding and professional cowork tasks. The 33B dense model carries 512K context, scores 80.9 on Terminal-Bench 2.1 ahead of Qwen3.8-27B and Muse-Glimmer-30B, and will serve as the teacher for …