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Sina Weibo releases VibeThinker-3B, a small model matching larger competitors

By PulseAugur Editorial · [1 sources] ·

Sina Weibo has released VibeThinker-3B, an open-source model with only three billion parameters. Despite its small size, it performs comparably to much larger models like DeepSeek V3.2 and Kimi K2.5 on math and coding tasks. Researchers attribute this efficiency to a multi-stage post-training process, leading to a hypothesis that logical reasoning can be effectively compressed into smaller models, while broad factual knowledge cannot. AI

IMPACT Demonstrates that logical reasoning can be effectively compressed into smaller models, potentially influencing future model development strategies.

RANK_REASON Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on The Decoder →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Sina Weibo releases VibeThinker-3B, a small model matching larger competitors

How we ranked this

Signal score
0 / 100
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Significant
Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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High
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90 days old
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COVERAGE [1]

  1. The Decoder TIER_1 English(EN) · Jonathan Kemper ·

    Sina's open model VibeThinker-3B aims to show reasoning compresses well but factual knowledge doesn't

    <p><img alt="An abstract illustration of data streams flowing into a faceted polyhedron, symbolizing an AI reasoning model." class="attachment-full size-full wp-post-image" height="1047" src="https://the-decoder.com/wp-content/uploads/2026/06/vibe-thinker-small-reasoning-model-ge…

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