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Benchmark profile

BIG-Bench Hard (BBH)

A suite of 23 challenging tasks from the BIG-Bench collaborative benchmark where prior language models failed to exceed average human performance, even with chain-of-thought prompting.

Data verified

Benchmark score on BBH — July 20, 2026

BenchLM mirrors the published score view for BBH. DeepSeek V4 Pro Base leads the public snapshot at 87.5% , followed by DeepSeek V4 Flash Base (86.9%) and Soofi S 30B-A3B (78.8%). BenchLM does not use these results to rank models overall.

5 modelsReasoningStaleSaturatedDisplay onlyUpdated July 20, 2026

Benchmark score table (5 models)

Score
1
DeepSeek V4 Pro BaseDeepSeek · Open weight
87.5%
2
DeepSeek V4 Flash BaseDeepSeek · Open weight
86.9%
3
Soofi S 30B-A3BSoofi Project · Open weight
78.8%
4
MiniCPM5-1BOpenBMB · Open weight
71.9%
5
Gemma 4 12BGoogle · Open weight
53%

The published BBH snapshot places DeepSeek V4 Pro Base first at 87.5%. The third row is 8.7 points behind. The broader top-10 range is 34.5 points, so the table still separates the published systems.

5 models have been evaluated on BBH. The benchmark falls in the Reasoning category. This category carries a 17% weight in BenchLM.ai's overall scoring system. BBH is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About BBH

Year

2022

Tasks

23 tasks

Format

Mixed reasoning tasks

Difficulty

Advanced reasoning

BBH focuses on 23 tasks from BIG-Bench that remain challenging for language models. Tasks include logical deduction, tracking shuffled objects, causal judgement, and other complex reasoning scenarios.

BenchLM freshness & provenance

Version

BBH 2022

Refresh cadence

Static

Staleness state

Stale

Question availability

Public benchmark set

StaleSaturatedDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

FAQ

What does BBH measure?

A suite of 23 challenging tasks from the BIG-Bench collaborative benchmark where prior language models failed to exceed average human performance, even with chain-of-thought prompting.

Which model scores highest on BBH?

DeepSeek V4 Pro Base by DeepSeek currently leads with a score of 87.5% on BBH.

How many models are evaluated on BBH?

5 AI models have been evaluated on BBH on BenchLM.

Last updated: July 20, 2026 · BenchLM version BBH 2022

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