{
  "id": 19736013,
  "title": "How a 180B Open Model Outscored a 2.8T Model in Math and Science Reasoning: Strength Merging Plus Model-Level RSI",
  "url": "https://urgent.news/2026/11/13/how-a-180b-open-model-outscored-a-2-8t-model-in-math-and-science",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-13T01:04:20.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/ai_openfree_b23025ef075cf/how-a-180b-open-model-outscored-a-28t-model-in-math-and-science-reasoning-strength-merging-plus-e5p"
  },
  "original_language": "en",
  "account": "In the November 2026 SuperCLUE evaluation, an open-weight model called Darwin-180B-RSI from Korea's VIDRAFT company achieved a score of 73.68 in mathematical and scientific reasoning. This is the highest score among open-weight models and the second overall, just behind OpenAI's GPT-6.1-Sol with a score of 76.32. The largest model in the evaluation, Moonshot AI's Kimi-K3.1-Pro with 2.8 trillion parameters, scored 63.16, indicating that a 180 billion parameter model can outperform a much larger one. This post explores the two methods behind Darwin's success and the implications of the size difference for serving costs.",
  "summary": "TL;DR Darwin-180B-RSI , an open-weight model from Korea's VIDRAFT, scored 73.68 in mathematical and scientific reasoning on SuperCLUE's November 2026 evaluation. That is first among open-weight models and second overall, directly behind OpenAI's GPT-6.1-Sol (76.32). The largest model in the same evaluation, Moonshot AI's Kimi-K3.1-Pro at 2.8 trillion parameters, scored 63.16. Darwin has 180…",
  "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."
}