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VibeThinker: 3B param model that beats Opus 4.5 on reasoning with novel SFT+GRPO

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VibeThinker: 3B param model that beats Opus 4.5 on reasoning with novel SFT+GRPO
AI Summary

Researchers have introduced VibeThinker, a 3-billion parameter language model that reportedly outperforms Opus 4.5 in reasoning tasks. The model utilizes novel SFT and GRPO training techniques.

Why it matters

It demonstrates the rapid advancement of small language models, suggesting that high-level reasoning is becoming achievable with fewer computational resources.

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Focus to learn more arXiv-issued DOI via DataCite Submission history From: Sen Xu [ view email ] [v1] Mon, 15 Jun 2026 02:57:19 UTC (552 KB) Full-text links: Access Paper: View a PDF of the paper titled VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models, by Sen Xu and 8 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.AI < prev | next > new | recent | 2026-06 Change to browse by: cs cs.CL References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

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Technical summary of an academic paper release without editorializing.

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