STEM & Reasoning Benchmark

BigBench Extra Hard

BigBench Extra Hard - extended and more challenging version of BigBench.

Category

STEM & Reasoning

Score type

percent

Scale

100%

higher is better

Models tested

6

What is BigBench Extra Hard?

BigBench Extra Hard (BBEH) takes selected BIG-Bench reasoning tasks and rebuilds them to be substantially harder, so that even strong models can no longer separate the tasks with heuristics. It measures how robust general reasoning really is.

What does it test?

BigBench Extra Hard measures hard reasoning in science, technology, engineering and math. In detail, it checks:

  • logical and linguistic reasoning tasks
  • resistance to previously learned 'task templates'
  • multi-step deductions where small errors cascade
  • generalisation, not memorised solutions

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Frequently asked questions

What is the BigBench Extra Hard benchmark?

BigBench Extra Hard (BBEH) takes selected BIG-Bench reasoning tasks and rebuilds them to be substantially harder, so that even strong models can no longer separate the tasks with heuristics. It measures how robust general reasoning really is.

What does BigBench Extra Hard test?

BigBench Extra Hard mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: logical and linguistic reasoning tasks; resistance to previously learned 'task templates'; multi-step deductions where small errors cascade.

How is the BigBench Extra Hard score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get BigBench Extra Hard data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/bigbench-extra-hard/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 6 models tested

Reset
# Model Score Date Source Verified
1 Gemma4-31B-it
Google
74.4%
02.07.2026 Report Verified
2 Gemma4-26B-A4B
Google
64.8%
02.07.2026 Report Verified
3 Gemma4-12B
Google
53%
02.07.2026 Report Verified
4 Gemma4-E4B
Google
33.1%
02.07.2026 Report Verified
5 Gemma4-E2B
Google
21.9%
02.07.2026 Report Verified
6 Gemma3-27B
Google
19.3%
02.07.2026 Report Unverified

What now?

You've seen how models score on BigBench Extra Hard — here's what to do next.