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Nanbeige releases open-source teacher model Nanbeige4.3-33B

By PulseAugur Editorial · [1 sources] ·

Nanbeige has released Nanbeige4.3-33B, an open-source model intended as a teacher for smaller agent models. The model boasts a 512K context window and achieved a score of 80.9 on Terminal-Bench 2.1, outperforming Qwen3.8-27B. However, it did not achieve top scores on all benchmarks, scoring 60.3 on SWE-Bench Pro compared to Qwen3.8-27B's 61.7. AI

IMPACT Provides an open-source teacher model for developing smaller agents, potentially lowering barriers to agent development.

RANK_REASON Release of an open-source model from a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Nanbeige releases open-source teacher model Nanbeige4.3-33B

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4 / 100
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Release of an open-source model from a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/jatingargiitk ·

    Nanbeige releases Nanbeige4.3-33B, an Apache 2.0 teacher model for smaller agents [N]

    <!-- SC_OFF --><div class="md"><p>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.</p> <p>the team reports 80.9 on Terminal-Bench 2.1 versus…

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