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LLM Stats
BIG-Bench Extra Hard (BBEH) is a challenging benchmark that replaces each task in BIG-Bench Hard with a novel task that probes similar reasoning capabilities but exhibits significantly increased difficulty. The benchmark contains 23 tasks testing diverse reasoning skills including many-hop reasoning, causal understanding, spatial reasoning, temporal arithmetic, geometric reasoning, linguistic reasoning, logic puzzles, and humor understanding. Designed to address saturation on existing benchmarks where state-of-the-art models achieve near-perfect scores, BBEH shows substantial room for improvement with best models achieving only 9.8-44.8% average accuracy.
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 |
|---|---|---|---|---|---|
| Gemma 4 31B | 0.744 | 未收录 | 未收录 | 2026-04-02 · model_announcement | LLM Stats |
| Gemma 4 26B-A4B | 0.648 | 未收录 | 未收录 | 2026-04-02 · model_announcement | LLM Stats |
| Gemma 4 12B | 0.53 | 未收录 | 未收录 | 2026-05-23 · model_announcement | LLM Stats |
| DiffusionGemma 26B-A4B | 0.476 | 未收录 | 未收录 | 2026-06-10 · model_announcement | LLM Stats |
| Gemma 4 E4B | 0.331 | 未收录 | 未收录 | 2026-04-02 · model_announcement | LLM Stats |
| Gemma 4 E2B | 0.219 | 未收录 | 未收录 | 2026-04-02 · model_announcement | LLM Stats |
| Gemma 3 27B | 0.193 | 未收录 | 未收录 | 2025-03-12 · model_announcement | LLM Stats |
| Gemma 3 12B | 0.163 | 未收录 | 未收录 | 2025-03-12 · model_announcement | LLM Stats |
| Gemini Diffusion | 0.15 | 未收录 | 未收录 | 2025-05-20 · model_announcement | LLM Stats |
| Gemma 3 4B | 0.11 | 未收录 | 未收录 | 2025-03-12 · model_announcement | LLM Stats |
| Gemma 3 1B | 0.072 | 未收录 | 未收录 | 2025-03-12 · model_announcement | LLM Stats |