language benchmark
BIG-Bench is a collaborative benchmark with 204+ tasks for probing large language models across diverse domains and languages.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score75.00% | Percentile100.00% | Participants3 | EvidenceB | Evaluated |
| Rank02 | ModelGO | Score74.90% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score68.20% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What BIG-Bench measures and how its scores work.
Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark consisting of 204+ English and non-English tasks across multiple languages.
It measures large language model performance on tasks covering linguistics, mathematics, common-sense reasoning, biology, physics, social bias, software development, and other domains, reported as Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about BIG-Bench.
Gemini 1.0 Pro is currently ranked first with 75.00%.
The current leaders are Gemini 1.0 Pro (75.00%), Gemma 2 27B (74.90%), and Gemma 2 9B (68.20%).
No matched official input price is currently available.
The fastest matched records are Gemini 1.0 Pro (120.00 tok/s via Google).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures large language model performance on tasks covering linguistics, mathematics, common-sense reasoning, biology, physics, social bias, software development, and other domains, reported as Score in ratio units.
Yes. Higher values rank better for this benchmark.
3 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis big-bench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Gemini 1.0 Pro currently leads BIG-Bench with 75.00%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.