[KongchangAI]
ModelNanbeige4.3-33B

Nanbeige4.3-33B

An open-source large language model released by the Nanbeige team with 33 billion parameters. It outperforms models of the same tier on multiple benchmarks and serves as the teacher-model foundation for a small-model distillation pipeline.

Timeline (last 90 days)

Oct 26

In the model card, the official recommendation is to use the preserve_thinking=true setting in multi-turn tool-calling scenarios.

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Oct 26

On the SWE-Bench Pro benchmark, Nanbeige4.3-33B scores 60.3, slightly below Qwen3.8-27B's 61.7.

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Oct 26

Nanbeige4.3-33B supports a 512K context window.

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Oct 26

On the Terminal-Bench 2.1 benchmark, Nanbeige4.3-33B scores 80.9 and Qwen3.8-27B scores 73.0, both obtained under the same test framework and inference settings.

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Oct 26

The model weights of Nanbeige4.3-33B are now available for download on Hugging Face.

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Oct 26

Nanbeige4.3-33B is positioned as a teacher model to guide smaller agent models, including a planned 3B version.

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Oct 25

Nanbeige4.3-33B reports a score of 80.9 on Terminal-Bench 2.1.

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Oct 25

The Nanbeige LLM Lab released Nanbeige4.3-33B, a 33B dense model.

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Oct 25

Nanbeige4.3-33B uses the Apache 2.0 license.

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Oct 25

Nanbeige4.3-33B has a context length of 512K.

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7 more timeline events

All Facts (17)

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The model weights of Nanbeige4.3-33B are now available for download on Hugging Face.

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In the model card, the official recommendation is to use the preserve_thinking=true setting in multi-turn tool-calling scenarios.

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Nanbeige4.3-33B is positioned as a teacher model to guide smaller agent models, including a planned 3B version.

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On the SWE-Bench Pro benchmark, Nanbeige4.3-33B scores 60.3, slightly below Qwen3.8-27B's 61.7.

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On the Terminal-Bench 2.1 benchmark, Nanbeige4.3-33B scores 80.9 and Qwen3.8-27B scores 73.0, both obtained under the same test framework and inference settings.

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Nanbeige4.3-33B supports a 512K context window.

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Nanbeige4.3-33B reports a score of 80.9 on Terminal-Bench 2.1.

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Nanbeige4.3-33B uses the Apache 2.0 license.

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Nanbeige4.3-33B has a context length of 512K.

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The 512K context is the most direct product selling point of Nanbeige4.3-33B.

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The Terminal-Bench score of 80.9 currently comes from the official self-report, and third-party reproduction results have not yet appeared.

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Official information on the specific distillation methods, data composition and timeline for Nanbeige4.3-33B remains limited.

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The specific benchmark items, evaluation configurations and comparison conditions for Nanbeige4.3-33B have not yet been fully presented in public information.

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The official model card explicitly states that Nanbeige4.3-33B will serve as the foundation for a subsequent small-model distillation pipeline, benefiting Nanbeige4.3-3B first.

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According to the Reddit community citing the Hugging Face model card, Nanbeige4.3-33B outperforms Qwen3.8-27B on a series of benchmarks.

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The Nanbeige LLM Lab released Nanbeige4.3-33B, a 33B dense model.

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The Nanbeige4.3-33B model has been released on Hugging Face with 33 billion parameters.

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