language benchmark
SuperGLUE is a language understanding benchmark comprising eight tasks: BoolQ (Boolean Questions), CB (CommitmentBank), COPA (Choice of Plausible Alternatives), MultiRC (Multi-Sentence Reading Comprehension), ReCoRD (Reading Comprehension with Commonsense Reasoning), RTE (Recognizing Textual Entailment), WiC (Word-in-Context), and WSC (Winograd Schema Challenge).
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score75.00% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
The leading models and 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 SuperGLUE measures and how its scores work.
SuperGLUE is a benchmark styled after GLUE that contains eight language understanding tasks and a public leaderboard.
It evaluates reading comprehension, commonsense reasoning, causal reasoning, coreference resolution, textual entailment, and word sense disambiguation across multiple domains, with results 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 SuperGLUE.
o1-mini is currently ranked first with 75.00%.
The current leaders are o1-mini (75.00%).
No matched official input price is currently available.
The fastest matched records are o1-mini (115.00 tok/s via OpenAI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It evaluates reading comprehension, commonsense reasoning, causal reasoning, coreference resolution, textual entailment, and word sense disambiguation across multiple domains, with results reported as Score in ratio units.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis superglue 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
o1-mini currently leads SuperGLUE 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.