language benchmark
BIG-Bench Extra Hard (BBEH) is a 23-task benchmark designed to evaluate challenging reasoning abilities across many-hop, causal, spatial, temporal, geometric, linguistic, logical, and humor-understanding tasks.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score74.40% | Percentile100.00% | Participants11 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score64.80% | Percentile90.00% | Participants11 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score53.00% | Percentile80.00% | Participants11 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score47.60% | Percentile70.00% | Participants11 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score33.10% | Percentile60.00% | Participants11 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score21.90% | Percentile50.00% | Participants11 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score19.30% | Percentile40.00% | Participants11 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score16.30% | Percentile30.00% | Participants11 | EvidenceC | Evaluated |
| Rank09 | ModelGO | Score15.00% | Percentile20.00% | Participants11 | EvidenceC | Evaluated |
| Rank10 | ModelGO | Score11.00% | Percentile10.00% | Participants11 | EvidenceC | Evaluated |
| Rank11 | ModelGO | Score7.20% | Percentile0.00% | Participants11 | 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 BIG-Bench Extra Hard measures and how its scores work.
BBEH is a benchmark in the language category that replaces each task in BIG-Bench Hard with a novel, significantly more difficult task probing similar reasoning capabilities.
It measures performance on diverse reasoning skills, including many-hop reasoning, causal understanding, spatial reasoning, temporal arithmetic, geometric reasoning, linguistic reasoning, logic puzzles, and humor understanding, using 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 BIG-Bench Extra Hard.
Gemma 4 31B is currently ranked first with 74.40%.
The current leaders are Gemma 4 31B (74.40%), Gemma 4 26B-A4B (64.80%), and Gemma 4 12B (53.00%).
No matched official input price is currently available.
The fastest matched records are Gemma 3 27B (33.00 tok/s via DeepInfra), Gemma 3 12B (33.00 tok/s via DeepInfra), and Gemma 3 4B (33.00 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.
It measures performance on diverse reasoning skills, including many-hop reasoning, causal understanding, spatial reasoning, temporal arithmetic, geometric reasoning, linguistic reasoning, logic puzzles, and humor understanding, using Score reported as a ratio.
Yes. Higher values rank better for this benchmark.
11 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis big-bench extra hard 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
Gemma 4 31B currently leads BIG-Bench Extra Hard with 74.40%. 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.