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Weibo researchers claim 3B-parameter model matches larger AI systems on demanding math benchmarks
Image: Primary Researchers at Sina Weibo posted a technical report describing VibeThinker-3B, a language model with 3 billion parameters.
The model scored 94.3 on the AIME 2026 math competition, comparable to much larger systems such as DeepSeek V3.2. A test-time scaling technique raised the score to 97.1.
The paper drew rapid attention on Hugging Face and GitHub but also skepticism on social media regarding benchmark reliability.
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