AI BriefingVibeThinker-3B Released: SLM Innovation in Math and Coding Performance
Key point
VibeThinker-3B, a small language model (SLM), has demonstrated frontier-level performance on math and coding benchmarks.
Details
The VibeThinker-3B model, trained to maximize Verifiable Reasoning capability, has been released. Despite its small parameter scale, this model shows very high performance in specific domains.
Key Benchmark Performance:
- AIME'26: 94.3
- LiveCodeBench v6: 80.2
- IMO-AnswerBench: 76.4
- IFEval: 93.4
- LeetCode: Passed 96.1% (123 out of 128) of Python submissions in a recent unseen contest
Through this model, the research team presented a path by which SLMs (Small Language Models) can complement existing Scaling Laws and deliver frontier-level reasoning capability in domains with high parameter density. However, for general-purpose use cases, further improvement is still needed.
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