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分清评测基准、一次评测运行与排行榜,用它们回答各自适合的问题。
LLM Stats
Big-Bench Hard (BBH) is a suite of 23 challenging tasks selected from BIG-Bench for which prior language model evaluations did not outperform the average human-rater. These tasks require multi-step reasoning across diverse domains including arithmetic, logical reasoning, reading comprehension, and commonsense reasoning. The benchmark was designed to test capabilities believed to be beyond current language models and focuses on evaluating complex reasoning skills including temporal understanding, spatial reasoning, causal understanding, and deductive logical reasoning.
本站保留来源报告的结果,不代表独立复测。请先核对任务版本、评测协议、分数单位和报告日期;不同运行条件不能直接合并为统一排名。
按来源中的观察顺序展示,顺序不代表排名。日期保留原始精度。
| 模型 | 数值 | 单位 | 协议 | 报告日期与口径 | 来源 |
|---|---|---|---|---|---|
| Qwen3 235B A22B | 0.8887 | 未收录 | 未收录 | 2025-04-29 · model_announcement | LLM Stats |
| MiMo-V2.5-Pro | 0.884 | 未收录 | 未收录 | 2026-04-27 · model_announcement | LLM Stats |
| Nova Pro | 0.869 | 未收录 | 未收录 | 2024-11-20 · model_announcement | LLM Stats |
| Qwen2.5 32B Instruct | 0.845 | 未收录 | 未收录 | 2024-09-19 · model_announcement | LLM Stats |
| DeepSeek-V2.5 | 0.843 | 未收录 | 未收录 | 2024-05-08 · model_announcement | LLM Stats |
| Nova Lite | 0.824 | 未收录 | 未收录 | 2024-11-20 · model_announcement | LLM Stats |
| Qwen2 72B Instruct | 0.824 | 未收录 | 未收录 | 2024-07-23 · model_announcement | LLM Stats |
| MiniCPM-SALA | 0.8155 | 未收录 | 未收录 | 2026-02-11 · model_announcement | LLM Stats |
| Nova Micro | 0.795 | 未收录 | 未收录 | 2024-11-20 · model_announcement | LLM Stats |
| Qwen2.5 14B Instruct | 0.782 | 未收录 | 未收录 | 2024-09-19 · model_announcement | LLM Stats |
| Hermes 3 70B | 0.6782 | 未收录 | 未收录 | 2024-08-15 · model_announcement | LLM Stats |
| ERNIE 4.5 | 0.304 | 未收录 | 未收录 | 2025-06-25 · model_announcement | LLM Stats |