llmboard.aiLeaderboard Center
Overall
Overall RankingOpen Models
Tools
Model DirectoryCompare Models
Capabilities
CodingReasoningMathKnowledgeInstruction Following
Price & Efficiency
Price & ValueCapability vs. PriceRuntime Performance
Modalities
Image GenerationVideo GenerationSpeech ModelsEmbeddings
Core Benchmarks
GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-ProView all benchmarks
Methods
Scoring & Data
393 models668 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

language benchmark

BIG-Bench Extra Hard

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.

Updated Aug 11, 2026

Models11
Model coverage11
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

BIG-Bench Extra Hard Ranking

Higher score ranks better on this benchmark.

11 rows
Columns

Show columns

01GOGemma 4 31BGoogle74.4%100.0%11CAug 11, 2026
02GOGemma 4 26B-A4BGoogle64.8%90.0%11CAug 11, 2026
03GOGemma 4 12BGoogle53.0%80.0%11CAug 11, 2026
04GODiffusionGemma 26B-A4BGoogle47.6%70.0%11CAug 11, 2026
05GOGemma 4 E4BGoogle33.1%60.0%11CAug 11, 2026
06GOGemma 4 E2BGoogle21.9%50.0%11CAug 11, 2026
07GOGemma 3 27BGoogle19.3%40.0%11CAug 11, 2026
08GOGemma 3 12BGoogle16.3%30.0%11CAug 11, 2026
09GOGemini DiffusionGoogle15.0%20.0%11CAug 11, 2026
10GOGemma 3 4BGoogle11.0%10.0%11CAug 11, 2026
11GOGemma 3 1BGoogle7.2%0.0%11CAug 11, 2026

BIG-Bench Extra Hard Score Distribution

A closer view of the leading scores on this benchmark.

BIG-Bench Extra Hard

BIG-Bench Extra Hard Highlights

The leading models and scores on this benchmark.

Rank #1Gemma 4 31B74.4%Rank #2Gemma 4 26B-A4B64.8%Rank #3Gemma 4 12B53.0%Rank #4DiffusionGemma 26B-A4B47.6%

What is BIG-Bench Extra Hard?

What BIG-Bench Extra Hard measures and how its scores work.

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.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
BIG-Bench Extra Hard
Modality
text
Primary category
language
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
big-bench-extra-hard|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about BIG-Bench Extra Hard.

Which model scores highest on BIG-Bench Extra Hard?

Gemma 4 31B is currently ranked first with 74.4%.

What does BIG-Bench Extra Hard measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

11 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.