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Español(ES) La evaluación que reescribe su examen cada mes: el tablero de SuperCLUE de noviembre de 2026, 19 modelos en una tabla

SuperCLUE benchmark ranks 19 top LLMs with monthly evolving private test sets · 6 sources tracked

By PulseAugur Editorial · [6 sources] ·

The SuperCLUE benchmark has released its November 2026 rankings, featuring 19 advanced large language models. This benchmark is notable for its unique approach of redeveloping its private test set monthly, preventing models from overfitting to known questions. The latest results show a competitive landscape where no single model dominated all categories, with leadership split across proprietary and open-weight models. AI

IMPACT Provides a dynamic evaluation framework that prevents model overfitting and offers cross-tier comparisons for proprietary and open-weight models.

RANK_REASON The cluster reports on a new benchmark release and rankings for LLMs, including specific model performance data.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 6 sources. How we write summaries →

SuperCLUE benchmark ranks 19 top LLMs with monthly evolving private test sets · 6 sources tracked

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The cluster reports on a new benchmark release and rankings for LLMs, including specific model performance data.
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6 independent sources
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model release, paper
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Full methodology in our editorial standards.

COVERAGE [6]

  1. dev.to — LLM tag TIER_1 Русский(RU) · 김민식/학생 ·

    The evaluation that writes a new exam every month: November SuperCLUE 2026 leaderboard, 19 models in one table

    <h2> Откуда у SuperCLUE вес </h2> <p>Из двух вещей: экзамен переписывают каждый месяц, и его не публикуют.</p> <p>SuperCLUE продолжает CLUE для больших моделей. CLUE начался в 2019 году и стал опорной таблицей для обработки китайского языка. В оценке больших языковых моделей Supe…

  2. dev.to — LLM tag TIER_1 日本語(JA) · QuantID ·

    Evaluation Organization That Recreates Problems Monthly: SuperCLUE November 2026 Board, 19 Leading Global Models in One Table

    <h2> SuperCLUE の重みはどこから来るのか </h2> <p>毎月問題を作り直し、その問題を公開しない、という二点から来ます。</p> <p>SuperCLUE は、2019年に始まり中国語自然言語処理の基準ボードになった CLUE の大規模言語モデル版です。大規模言語モデルの評価では、中国で最も多く引用されるボードです。毎月、非公開のテストセットを新しく作るため、公開済みの問題を暗記して順位を上げることができません。採点軸は五つあります。エージェント型コーディング、数学・科学推論、ハルシネーション抑制、厳密な指示遵守、超長文コンテキストです…

  3. dev.to — LLM tag TIER_1 Español(ES) · 김민식/학생 ·

    The evaluation that rewrites its exam every month: SuperCLUE's November 2026 leaderboard, 19 models in a table

    <h2> ¿De dónde viene el peso de SuperCLUE? </h2> <p>De dos cosas: reescribe el examen cada mes y no lo publica.</p> <p>SuperCLUE es la continuación para grandes modelos de CLUE, el banco de pruebas de comprensión del chino que comenzó en 2019 y se convirtió en el tablero de refer…

  4. dev.to — LLM tag TIER_1 中文(ZH) · GINIGEN AI ·

    Monthly Re-evaluation: SuperCLUE November 2026 Leaderboard, 19 Global Frontier Models Compared

    <h2> SuperCLUE 的分量来自哪里 </h2> <p>来自两点：每月重新出卷，而且卷子不公开。</p> <p>SuperCLUE 是 CLUE 的大模型版本。CLUE 自 2019 年起成为中文自然语言处理的基准榜单。在大语言模型评测中，SuperCLUE 是中国被引用最多的一套评测。它每月重建一套不公开的测试集，因此模型无法靠背诵已公开的题目往上走。评分维度有五个：智能体编程、数学与科学推理、幻觉控制、精确指令遵循、超长上下文。它把闭源商用模型与开放权重模型放进同一张表，这正是这份榜单可以跨阵营阅读的原因。</p> <p>2026 年 11 …

  5. dev.to — LLM tag TIER_1 한국어(KO) · Vidraft_lab ·

    Evaluation agency that creates new exam papers every month: Superglue November 2026 Board, Global 19 Models One Vote

    <h2> 슈퍼클루의 무게는 어디서 나오는가 </h2> <p>매달 시험지를 새로 만들고, 그 시험지를 공개하지 않는다는 점에서 나옵니다.</p> <p>슈퍼클루는 2019년 시작해 중국어 자연어처리의 기준 보드가 된 CLUE 의 대형 언어모델 판입니다. 대형 언어모델 평가에서 중국에서 가장 많이 인용되는 보드입니다. 매달 비공개 시험지를 새로 만들기 때문에 공개된 문제를 외워서 순위를 올릴 수 없습니다. 채점 축은 다섯 개입니다. 에이전트 코딩, 수학·과학 추론, 환각 억제, 정밀 지시 이행, 초장문…

  6. dev.to — LLM tag TIER_1 English(EN) · QuantID ·

    The Benchmark That Writes a New Exam Every Month: SuperCLUE's November 2026 Board, 19 Models, One Table

    <h2> Why does SuperCLUE carry weight? </h2> <p>Because it changes the exam every month and keeps it private.</p> <p>SuperCLUE is the large-model successor to CLUE, the Chinese language understanding benchmark that started in 2019 and became the reference board for Chinese natural…

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