BBH
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.
Qwen3 235B A22B from Alibaba Cloud / Qwen Team currently leads the BBH leaderboard with a score of 0.889 across 11 evaluated AI models.
Qwen3 235B A22B leads with 88.9%, followed by 
Nova Pro at 86.9% and Qwen2.5 32B Instruct at 84.5%.
Progress Over Time
Interactive timeline showing model performance evolution on BBH
BBH Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 235B | 128K | $0.10 / $0.10 | ||
| 2 | Amazon | — | 300K | $0.80 / $3.20 | ||
| 3 | Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 4 |  DeepSeek | 236B | 8K | $0.14 / $0.28 | ||
| 5 | Alibaba Cloud / Qwen Team | 72B | — | — | ||
| 5 | Amazon | — | 300K | $0.06 / $0.24 | ||
| 7 |  OpenBMB | 9B | — | — | ||
| 8 | Amazon | — | 128K | $0.03 / $0.14 | ||
| 9 | Alibaba Cloud / Qwen Team | 15B | — | — | ||
| 10 |  Nous Research | 70B | — | — | ||
| 11 |  Baidu | 21B | 128K | $0.40 / $4.00 |
FAQ
Common questions about BBH.
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