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VIDRAFT's Darwin-180B-RSI MoE model claims 5 leaderboard tops

VIDRAFT, a Korean AI startup, has released Darwin-180B-RSI, a 180-billion-parameter mixture-of-experts model. This model is built upon Qwen3.8-Flash-Next and incorporates selective model merging with a recursive self-improvement technique. VIDRAFT claims Darwin-180B-RSI has achieved top rankings on five Hugging Face leaderboards across various reasoning benchmarks, though these results are self-reported and lack independent validation. AI

IMPACT This model's claimed performance on reasoning benchmarks could influence future development in MoE architectures and self-improvement techniques.

RANK_REASON The cluster describes a new model release with technical details and benchmark claims, but lacks direct announcement from a frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]

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VIDRAFT's Darwin-180B-RSI MoE model claims 5 leaderboard tops

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · AI OpenFree ·

    Darwin-180B-RSI: VIDRAFT's Recursive Self-Improvement MoE Model Claims Five Leaderboard Tops

    <h1> Darwin-180B-RSI: VIDRAFT's Recursive Self-Improvement MoE Model Claims Five Leaderboard Tops </h1> <blockquote> <p><strong>TL;DR:</strong> VIDRAFT, a Korean Pre-AGI AI startup, has released Darwin-180B-RSI — a 180-billion-parameter mixture-of-experts reasoning model built on…