language benchmark
BIG-Bench
Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark consisting of 204+ tasks designed to probe large language models and extrapolate their future capabilities. It covers diverse domains including linguistics, mathematics, common-sense reasoning, biology, physics, social bias, software development, and more. The benchmark focuses on tasks believed to be beyond current language model capabilities and includes both English and non-English tasks across multiple languages.
Updated Aug 11, 2026
Models3
Model coverage3
MetricScore
EvidenceB
BIG-Bench Ranking
Higher score ranks better on this benchmark.
| 1 | GO | 75.0% | 100.0% | 3 | B | |
| 2 | GO | 74.9% | 50.0% | 3 | C | |
| 3 | GO | 68.2% | 0.0% | 3 | C |
BIG-Bench Score Distribution
A closer view of the leading scores on this benchmark.
BIG-Bench Highlights
The leading models and scores on this benchmark.
What is BIG-Bench?
What BIG-Bench measures and how its scores work.
Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark consisting of 204+ tasks designed to probe large language models and extrapolate their future capabilities. It covers diverse domains including linguistics, mathematics, common-sense reasoning, biology, physics, social bias, software development, and more. The benchmark focuses on tasks believed to be beyond current language model capabilities and includes both English and non-English tasks across multiple languages.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BIG-Bench
- Modality
- text
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- big-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BIG-Bench.
Which model scores highest on BIG-Bench?
Gemini 1.0 Pro is currently ranked first with 75.0%.
What does BIG-Bench measure?
Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark consisting of 204+ tasks designed to probe large language models and extrapolate their future capabilities. It covers diverse domains including linguistics, mathematics, common-sense reasoning, biology, physics, social bias, software development, and more. The benchmark focuses on tasks believed to be beyond current language model capabilities and includes both English and non-English tasks across multiple languages.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.