Nanbeige4.1-3B is a 4B-parameter small language model that excels in reasoning, preference alignment, and agentic behaviors, proving that compact models can compete with much larger ones. Built on Nanbeige4-3B-Base, it achieves SOTA performance on benchmarks like LiveCodeBench-Pro (81.4% Easy, 28.1% Medium), AIME 2026 I (87.40%), Arena-Hard-v2 (73.2), and deep-search tasks (xBench-DeepSearch-2505: 75, xBench-DeepSearch-2510: 39). It is the first small model to natively support deep-search tasks with 500+ tool invocations, filling a gap in the small-model ecosystem. The model is open-source and deployable via transformers, with 131K max tokens and BF16 precision.
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