legal benchmark
SuperGPQA evaluates large language models on 25,957 questions spanning 285 graduate-level academic disciplines across 13 broad disciplinary areas.
Updated Sep 7, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score73.60% | Percentile100.00% | Participants34 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score71.60% | Percentile96.97% | Participants34 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score71.40% | Percentile93.94% | Participants34 | EvidenceC | Evaluated |
| Rank04 | ModelBY | Score70.80% | Percentile90.91% | Participants34 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score70.40% | Percentile87.88% | Participants34 | EvidenceC | Evaluated |
| Rank06 | ModelBY | Score67.40% | Percentile84.85% | Participants34 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score67.10% | Percentile81.82% | Participants34 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score66.00% | Percentile78.79% | Participants34 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score65.60% | Percentile75.76% | Participants34 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score65.10% | Percentile72.73% | Participants34 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score64.90% | Percentile69.70% | Participants34 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score64.70% | Percentile66.67% | Participants34 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score64.30% | Percentile63.64% | Participants34 | EvidenceC | Evaluated |
| Rank14 | ModelAC | Score63.40% | Percentile60.61% | Participants34 | EvidenceC | Evaluated |
| Rank15 | ModelAC | Score62.60% | Percentile57.58% | Participants34 | EvidenceC | Evaluated |
| Rank16 | ModelAC | Score60.80% | Percentile54.55% | Participants34 | EvidenceC | Evaluated |
| Rank17 | ModelAC | Score60.40% | Percentile51.52% | Participants34 | EvidenceC | Evaluated |
| Rank18 | ModelAC | Score59.00% | Percentile48.48% | Participants34 | EvidenceC | Evaluated |
| Rank19 | ModelAC | Score58.80% | Percentile45.45% | Participants34 | EvidenceC | Evaluated |
| Rank20 | ModelAC | Score58.20% | Percentile42.42% | Participants34 | EvidenceC | Evaluated |
| Rank21 | ModelMA | Score57.20% | Percentile39.39% | Participants34 | EvidenceC | Evaluated |
| Rank22 | ModelMA | Score57.20% | Percentile36.36% | Participants34 | EvidenceC | Evaluated |
| Rank23 | ModelAC | Score56.40% | Percentile33.33% | Participants34 | EvidenceC | Evaluated |
| Rank24 | ModelAC | Score54.60% | Percentile30.30% | Participants34 | EvidenceC | Evaluated |
| Rank25 | ModelAC | Score53.10% | Percentile27.27% | Participants34 | EvidenceC | Evaluated |
| Rank26 | ModelAC | Score52.90% | Percentile24.24% | Participants34 | EvidenceC | Evaluated |
| Rank27 | ModelAC | Score51.20% | Percentile21.21% | Participants34 | EvidenceC | Evaluated |
| Rank28 | ModelAC | Score46.80% | Percentile18.18% | Participants34 | EvidenceC | Evaluated |
| Rank29 | ModelMA | Score44.70% | Percentile15.15% | Participants34 | EvidenceC | Evaluated |
| Rank30 | ModelAC | Score44.50% | Percentile12.12% | Participants34 | 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 SuperGPQA measures and how its scores work.
SuperGPQA is a benchmark containing questions across graduate-level academic disciplines, created using a Human-LLM collaborative filtering mechanism with over 80 expert annotators.
It measures graduate-level knowledge and reasoning capabilities across fields including Engineering, Medicine, Science, Law, light industry, agriculture, and service-oriented domains.
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 SuperGPQA.
Qwen3.7 Max is currently ranked first with 73.60%.
The current leaders are Qwen3.7 Max (73.60%), Qwen3.6 Plus (71.60%), and Qwen3.7-Plus (71.40%).
Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.
The fastest matched records are Qwen3-235B-A22B-Instruct-2507 (21.74 tok/s via DeepInfra), Qwen3 235B A22B (21.74 tok/s via DeepInfra), and Qwen3 VL 4B Thinking (8.77 tok/s via DeepInfra).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures graduate-level knowledge and reasoning capabilities across fields including Engineering, Medicine, Science, Law, light industry, agriculture, and service-oriented domains.
Yes. Higher values rank better for this benchmark.
34 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis supergpqa 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
Qwen3.7 Max currently leads SuperGPQA with 73.60%. 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.