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.
Gemini 1.0 Pro from Google currently leads the BIG-Bench leaderboard with a score of 0.750 across 3 evaluated AI models.
Gemini 1.0 Pro leads with 75.0%, followed by Gemma 2 27B at 74.9% and Gemma 2 9B at 68.2%.
Progress Over Time
Interactive timeline showing model performance evolution on BIG-Bench
BIG-Bench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Google | — | — | — | ||
| 2 | Google | 27B | — | — | ||
| 3 | Google | 9B | — | — |
FAQ
Common questions about BIG-Bench.
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