Sina Weibo released VibeThinker-3B, a 3-billion-parameter open model that matches the performance of models up to 333 times larger on math and coding benchmarks. The researchers hypothesize that logic…
Weibo's AI group released VibeThinker-3B, a 3-billion-parameter model that achieves 94.3 on AIME and outperforms Claude Opus 4.5 on competition reasoning, but collapses on general knowledge tasks. The…
Researchers developed VibeThinker-3B, a 3-billion-parameter language model that achieves reasoning performance matching or exceeding models orders of magnitude larger, scoring 94.3 on AIME26 and 80.2 …
Researchers from Sina Weibo Inc (China) released VibeThinker-3B, a 3-billion-parameter dense reasoning model built on Qwen2.5-Coder-3B using the Spectrum-to-Signal post-training pipeline. The open-sou…
Researchers at Sina Weibo released VibeThinker-3B, a 3-billion-parameter language model that matches or exceeds the reasoning performance of much larger systems from Google DeepMind, OpenAI, Anthropic…
WeiboAI released VibeThinker-3B, a 3.09B-parameter coding and reasoning model built on Qwen2.5-Coder-3B that achieves performance close to much larger systems through extensive post-training, includin…
A nine-person team at Chinese social media company Sina Weibo developed VibeThinker-3B, a 3-billion-parameter language model that matches the reasoning performance of flagship AI models hundreds of ti…
VibeThinker-3B, a dense 3B parameter model, achieves 80.2 Pass@1 on LCB v6, 94.3 on AIME'26, and 76.4 on IMO-AnsBench, with further improvements using CLR. The model demonstrates frontier-level verifi…