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math benchmark

BIG-Bench Hard

BIG-Bench Hard (BBH) is a subset of 23 challenging BIG-Bench tasks selected because prior language model evaluations did not outperform average human-rater performance. The benchmark contains 6,511 evaluation examples testing various forms of multi-step reasoning including arithmetic, logical reasoning (Boolean expressions, logical deduction), geometric reasoning, temporal reasoning, and language understanding. Tasks require capabilities such as causal judgment, object counting, navigation, pattern recognition, and complex problem solving.

Updated Aug 7, 2026

Published models21
Registry coverage21
MetricScore
EvidenceB

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BIG-Bench Hard leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

21 rows
Columns

Show columns

1ANClaude 3.5 SonnetAnthropic93.1%100.0%21CAug 7, 2026
2ANClaude 3.5 SonnetAnthropic93.1%95.0%21CAug 7, 2026
3GOGemini 1.5 ProGoogle89.2%90.0%21CAug 7, 2026
4GOGemma 3 27BGoogle87.6%85.0%21CAug 7, 2026
5ANClaude 3 OpusAnthropic86.8%80.0%21CAug 7, 2026
6GOGemma 3 12BGoogle85.7%75.0%21CAug 7, 2026
7GOGemini 1.5 FlashGoogle85.5%70.0%21CAug 7, 2026
8ANClaude 3 SonnetAnthropic82.9%65.0%21CAug 7, 2026
9MIPhi-3.5-MoE-instructMicrosoft79.1%60.0%21CAug 7, 2026
10ANClaude 3 HaikuAnthropic73.7%55.0%21CAug 7, 2026
11GOGemma 3 4BGoogle72.2%50.0%21CAug 7, 2026
12MIPhi 4 MiniMicrosoft70.4%45.0%21CAug 7, 2026
13IBGranite 3.3 8B BaseIBM69.1%40.0%21CAug 7, 2026
14IBGranite 3.3 8B InstructIBM69.1%35.0%21CAug 7, 2026
15MIPhi-3.5-mini-instructMicrosoft69.0%30.0%21CAug 7, 2026
16IBIBM Granite 4.0 Tiny PreviewIBM55.7%25.0%21CAug 7, 2026
17GOGemma 3n E4BGoogle52.9%20.0%21CAug 7, 2026
18GOGemma 3n E4B Instructed LiteRT PreviewGoogle52.9%15.0%21CAug 7, 2026
19GOGemma 3n E2BGoogle44.3%10.0%21CAug 7, 2026
20GOGemma 3n E2B Instructed LiteRT (Preview)Google44.3%5.0%21CAug 7, 2026
21GOGemma 3 1BGoogle39.1%0.0%21CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

BIG-Bench Hard

BIG-Bench Hard highlights

The top published results on this benchmark's own scale.

Rank #1Claude 3.5 Sonnet93.1%Rank #2Claude 3.5 Sonnet93.1%Rank #3Gemini 1.5 Pro89.2%Rank #4Gemma 3 27B87.6%

What is BIG-Bench Hard?

Definition and scoring fields from the benchmark registry.

BIG-Bench Hard (BBH) is a subset of 23 challenging BIG-Bench tasks selected because prior language model evaluations did not outperform average human-rater performance. The benchmark contains 6,511 evaluation examples testing various forms of multi-step reasoning including arithmetic, logical reasoning (Boolean expressions, logical deduction), geometric reasoning, temporal reasoning, and language understanding. Tasks require capabilities such as causal judgment, object counting, navigation, pattern recognition, and complex problem solving.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

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

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about BIG-Bench Hard.

Which model scores highest on BIG-Bench Hard?

Claude 3.5 Sonnet is currently ranked first with 93.1%.

What does BIG-Bench Hard measure?

BIG-Bench Hard (BBH) is a subset of 23 challenging BIG-Bench tasks selected because prior language model evaluations did not outperform average human-rater performance. The benchmark contains 6,511 evaluation examples testing various forms of multi-step reasoning including arithmetic, logical reasoning (Boolean expressions, logical deduction), geometric reasoning, temporal reasoning, and language understanding. Tasks require capabilities such as causal judgment, object counting, navigation, pattern recognition, and complex problem solving.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

21 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is marked as eligible for the current LLMBoard capability methodology.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

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