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一位用户在 4x R9700 GPU 搭配上对比了 Qwen 3.8 27B 与 Nanbeige 4.3 33B 的真实世界吞吐表现，发现 Qwen 在 token 速度和每小时任务量上分别领先约 25% 和 45%，且思考模式下准确率更高。
Compares two new AI models for agentic workloads: the compact Nanbeige4.2-3B with a looped transformer architecture and the large Mixture-of-Experts Laguna S2.1, both released on Hugging Face.
Nanbeige4.2 has been released on ModelScope with two models: a 28T-token Looped Transformer base and a 3B SFT+RL agent that reportedly outperforms Qwen3.5-9B and Gemma4-12B on agent benchmarks.
Nanbeige 4.1, a 3B model, outperforms Qwen3-30b-A3b and Qwen 3.5 4b in coding tasks with focus on algorithmic efficiency, achieving long horizon tasks with 600+ tool calls.