SuperCLUE November 2026: Category Leaders and the Full 19-Model Score Ranking

SuperCLUE’s November 2026 evaluation compares 19 language models across agentic coding, mathematical and scientific reasoning, hallucination control, precise instruction following, and ultra-long-context performance, arguing that category-specific results can be more useful than aggregate rankings for deployment decisions. Gemini-4-Argon has the highest overall displayed score at 73.62 and leads hallucination control and ultra-long context, while GPT-6.1-Sol ranks second overall and leads coding and reasoning, tying Gemini for instruction following. Among the 12 models classified as open by SuperCLUE, Kimi-K3.1-Pro ranks highest overall and leads hallucination control, instruction following, and long-context tasks, while DeepSeek-V4.1-Flash-1017 leads open models in coding and Darwin-180B-RSI-R3 leads them in reasoning, where it ranks second across all evaluated models. The article distinguishes score-based ordering from SuperCLUE’s separate numbered ranking policy, which excludes international models from numbered ranks despite displaying their scores, and notes that benchmark scores should not be treated as direct real-world error rates or universal capability measures. It recommends workload-specific testing that controls prompts, inference settings, tools, language, latency, cost, memory use, and model versions before selecting a model for production.

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