VibeThinker-3B: 3B Dense Reasoning Model via Spectrum-to-Signal Post-Training
Decision Brief
What changedVibeThinker-3B is a 3B-parameter MIT-licensed reasoning model matching DeepSeek V3.2 and Kimi K2.5 on verifiable benchmarks.
Why it mattersDemonstrates how small dense models can compete with large models in reasoning tasks, aiding AI builders in resource-constrained settings.
Who should careTeams building on model APIs
Affected stackQwenDeepSeekKimi
Builder actionEvaluate
Source confidenceMedium · Reliable media or first-hand reporting
VibeThinker-3B is a 3B-parameter dense reasoning model built on Qwen2.5-Coder-3B, using a novel spectrum-to-signal post-training pipeline. Released under MIT license, it matches DeepSeek V3.2 and Kimi K2.5 on verifiable benchmarks. This shows that effective post-training can enable small models to achieve reasoning capabilities comparable to much larger models.
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Sources
- MarkTechPost
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