BOSS Zhipin open-sources 33B parameter Agent model: Leading in 17 out of 20 self-assessed metrics, but its final goal is a 3B parameter model.
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Beating AI News (Dongcha): Nanbeige Lab, a subsidiary of BOSS Zhipin, has released the open-source model Nanbeige4.3-33B, a model focused on programming and office agents, supporting a 512K context window and licensed under Apache 2.0. The team compared it with models including Qwen3.8-27B, Meta Muse Glimmer 30B, and Gemma 4 31B. In the 20 tests released, Nanbeige ranked first in 17. It scored 80.9 on Terminal-Bench 2.1, outperforming Qwen’s 73.0; its DeepSWE score reached 65.5, while the competitor’s was only 42.5. It also led Qwen by 54.2 to 38.3 in the office automation test Automation Bench. However, Qwen still holds the lead in SWE-Bench Pro and GDPval. Notably, Nanbeige Lab previously focused on developing 3B-scale small models; its prior generation model Nanbeige4.2-3B improved the model’s effective computational depth without increasing parameters by reusing Transformer layers. This time, the team instead first trained a 33B large model, planning to use it as a "teacher" to distill capabilities such as programming and tool calling into the upcoming Nanbeige4.3-3B.
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