math benchmark
SAT Math is an AGIEval benchmark containing standardized mathematics questions from the College Board SAT examination.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score89.00% | 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.
Ranking basisThis sat math 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
GPT-4 currently leads SAT Math with 89.00%. 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.
What SAT Math measures and how its scores work.
SAT Math is a math benchmark from AGIEval that uses standardized mathematics questions from the College Board SAT examination.
It measures mathematical reasoning capabilities using human-centric assessment methods, with the metric Score reported as a ratio.
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 SAT Math.
GPT-4 is currently ranked first with 89.00%.
The current leaders are GPT-4 (89.00%).
GPT-4 has the lowest matched official input price at $30 input / $60 output per 1M tokens.
The fastest matched records are GPT-4 (104.00 tok/s via Azure).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures mathematical reasoning capabilities using human-centric assessment methods, with the metric Score reported as a ratio.
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.