language benchmark
BBH is a suite of 23 challenging tasks selected from BIG-Bench to evaluate multi-step reasoning across diverse domains.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score88.87% | Percentile100.00% | Participants12 | EvidenceC | Evaluated |
| Rank02 | ModelXI | Score88.40% | Percentile90.91% | Participants12 | EvidenceC | Evaluated |
| Rank03 | ModelAM | Score86.90% | Percentile81.82% | Participants12 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score84.50% | Percentile72.73% | Participants12 | EvidenceC | Evaluated |
| Rank05 | ModelDE | Score84.30% | Percentile63.64% | Participants12 | EvidenceC | Evaluated |
| Rank06 | ModelAM | Score82.40% | Percentile54.55% | Participants12 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score82.40% | Percentile45.45% | Participants12 | EvidenceC | Evaluated |
| Rank08 | ModelOP | Score81.55% | Percentile36.36% | Participants12 | EvidenceC | Evaluated |
| Rank09 | ModelAM | Score79.50% | Percentile27.27% | Participants12 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score78.20% | Percentile18.18% | Participants12 | EvidenceC | Evaluated |
| Rank11 | ModelNR | Score67.82% | Percentile9.09% | Participants12 | EvidenceC | Evaluated |
| Rank12 | ModelBA | Score30.40% | Percentile0.00% | Participants12 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What BBH measures and how its scores work.
Big-Bench Hard (BBH) is a suite of 23 tasks selected from BIG-Bench for which prior language model evaluations did not outperform the average human-rater.
BBH measures multi-step reasoning across arithmetic, logical reasoning, reading comprehension, and commonsense reasoning, including temporal understanding, spatial reasoning, causal understanding, and deductive logical reasoning; its metric is Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about BBH.
Qwen3 235B A22B is currently ranked first with 88.87%.
The current leaders are Qwen3 235B A22B (88.87%), MiMo-V2.5-Pro (88.40%), and Nova Pro (86.90%).
Nova Micro has the lowest matched official input price at $0.04 input / $0.14 output per 1M tokens.
The fastest matched records are DeepSeek-V2.5 (100.00 tok/s via DeepSeek), Qwen3 235B A22B (21.74 tok/s via DeepInfra), and MiMo-V2.5-Pro (5.27 tok/s via DeepInfra).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
BBH measures multi-step reasoning across arithmetic, logical reasoning, reading comprehension, and commonsense reasoning, including temporal understanding, spatial reasoning, causal understanding, and deductive logical reasoning; its metric is Score, reported as a ratio.
Yes. Higher values rank better for this benchmark.
12 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis bbh AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen3 235B A22B currently leads BBH with 88.87%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.