BIG-bench
The short answer · 19 words
In short
Collaboratively developed benchmark collection with more than 200 tasks to study different capabilities and limitations of large language models.
Flow-alerta.cab (2026): BIG-bench. https://flow-alerta.cab/en/glossar/big-bench. Editorially reviewed on: 09 October 2026.
How much detail would you like?
Practical
Historically important LLM benchmark and a good example of how broad evaluation can be. For today's product selection, topicality, contamination and real company tasks are also crucial.
Example scenario: Researchers compare several language models across different BIG-bench tasks and analyze which task types increase performance with model size.
Rather, use it as a background for evaluation methods. For company decisions, supplement your own, current test set with real tasks.
At a glance
- Core
- BIG-bench (“Beyond the Imitation Game Benchmark”) brings together a large number of very different tasks from language, knowledge, mathematics, conclusions and other fields. The aim was to measure model behaviour more broadly than with individual standard benchmarks. BIG-bench Lite is a smaller subset.
- Use
- Historically important LLM benchmark and a good example of how broad evaluation can be. For today's product selection, topicality, contamination and real company tasks are also crucial.
- Example
- Example scenario: Researchers compare several language models across different BIG-bench tasks and analyze which task types increase performance with model size.
- Limits
- Interpreting BIG-bench score as a universal intelligence measure; comparing tasks without context of metrics; transferring older benchmark results unchecked to current models; ignoring contamination.
In context
Benchmark
Standardised task, test collection or measurement method used to evaluate systems under the most comparable conditions possible.
Benchmark Contamination
Contamination of model evaluation when benchmark tasks or closely related information were already available during training, tuning or development.
Questions about this term
Is BIG-bench a single test?
No, a collection of tasks.
What is BIG-bench Lite?
A smaller subset with 24 tasks.
Is BIG-bench alone sufficient today?
No.
All details and background
BIG-bench (“Beyond the Imitation Game Benchmark”) brings together a large number of very different tasks from language, knowledge, mathematics, conclusions and other fields. The aim was to measure model behaviour more broadly than with individual standard benchmarks. BIG-bench Lite is a smaller subset.
ELI5 – Explained simply
Instead of testing a language model with just one exam, BIG-bench has many very different tasks.
Why it matters in practice
Historically important LLM benchmark and a good example of how broad evaluation can be. For today's product selection, topicality, contamination and real company tasks are also crucial.
Example
Example scenario: Researchers compare several language models across different BIG-bench tasks and analyze which task types increase performance with model size.
Pitfalls and limits
- Interpreting BIG-bench score as a universal intelligence measure; comparing tasks without context of metrics; transferring older benchmark results unchecked to current models; ignoring contamination.
Origin & history
BIG-bench was developed collaboratively; the related research was published in 2022 as a preprint and revised in 2023. The official repository has been archived since 17 April 2026.
Use in mid-sized companies
- Rather, use it as a background for evaluation methods. For company decisions, supplement your own, current test set with real tasks.
Related terms
Matching Flow-alerta service
AI opportunity analysis & roadmapAI consulting: AI potential analysis & roadmap on tasks, data and prerequisites of a possible first AI use case.Matching tool / use case
View use casesBenchmark: BIG-bench (repository archived since April 17, 2026); use case: historical and methodological analysis of different LLM capabilities.Sources
- github.comGoogle BIG-bench Repository
- research.googleGoogle Research
- arxiv.orgPaper
Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.
Editorially reviewed on: