{
  "id": 19108748,
  "title": "Darwin-180B-RSI-R3: Open-Weight MoE Scores #2 on SuperCLUE Math & Science Reasoning, Beating Gemini and Grok",
  "url": "https://urgent.news/2026/11/09/darwin-180b-rsi-r3-open-weight-moe-scores-2-on-superclue-math-science",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-09T07:01:37.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/ai_openfree_b23025ef075cf/darwin-180b-rsi-r3-open-weight-moe-scores-2-on-superclue-math-science-reasoning-beating-gemini-10lj"
  },
  "original_language": "en",
  "account": "Darwin-180B-RSI-R3 is a 180-billion-parameter Mixture-of-Experts language model developed by VIDRAFT, a South Korean Pre-AGI AI startup. The model scored 73.68 on the SuperCLUE November 2026 math and science reasoning dimension, placing it #2 overall and #1 among open-weight models, according to the SuperCLUE November 2026 leaderboard published on 2026-11-05.\n\nDarwin-180B-RSI-R3 is built on top of Alibaba's Qwen3.8-Flash-Next architecture and inherits the expert layers from that base. However, only the attention layers, linear-attention layers, and shared expert layers were retrained using VIDRAFT's self-improvement process. The feed-forward network expert blocks remained untouched to preserve the model's factual and domain knowledge.\n\nThe retraining process, described as a self-improvement loop, involved the model generating its own problems, producing candidate answers, verifying those answers internally, and using that feedback signal to update weights. This targeted retraining allowed the model to optimize the reasoning-focused layers while maintaining the original factual knowledge.\n\nThe model uses the Qwen community license, which permits commercial use. VIDRAFT has released the model weights under this license, making it available for download on Hugging Face. Additionally, a 4-bit quantized version called POCKET-Darwin-180B-GGUF is available for running on a 32 GB RAM laptop without a GPU.\n\nWhen compared to the base Qwen3.8-Flash-Next model, Darwin-180B-RSI-R3 achieved a 15.8-point improvement in math and science reasoning scores, moving up six positions in the SuperCLUE ranking. The only model that outperformed Darwin-180B-RSI-R3 in the math and science reasoning dimension was GPT-6.1-Sol with a score of 76.32.\n\nWhile Darwin-180B-RSI-R3 excels in reasoning tasks, it ranks #9 overall on the SuperCLUE benchmark, which assesses models across five dimensions, including agentic coding, hallucination suppression, precise instruction following, and long-context understanding. These other dimensions were not the focus of the self-improvement process.\n\nThe source article confirms that the full 180B model weights are publicly available, and the POCKET-CPU variant is designed for consumer-level hardware without requiring a GPU. However, specific API endpoints, GitHub repositories, or installation commands for this release are not publicly documented, so users should consult VIDRAFT's official channels for access instructions.",
  "summary": "Darwin-180B-RSI-R3: Open-Weight MoE Scores #2 on SuperCLUE Math & Science Reasoning, Beating Gemini and Grok TL;DR: Darwin-180B-RSI-R3 is a 180-billion-parameter Mixture-of-Experts model from VIDRAFT that scored 73.68 on the SuperCLUE November 2026 math and science reasoning dimension — ranking #2 overall and #1 among open-weight models on an independently administered, non-public test. It…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}