PaperBench ↗2.6%
o3-mini-high · PaperBench · Average replication score · BasicAgent ↗
OpenAI / MODEL EVIDENCE
o3-mini-high
4 benchmarks · 4 observations · 2 sources
Scores at a glance
4 benchmarks · large dot: o3-mini-high; small dots: closest models where reported
SimpleQA ↗13.8%
o3-mini-high · SimpleQA · Correct answers · OpenAI Simple Evals · archived July 2025 ↗
HumanEval ↗97.6%
o3-mini-high · HumanEval · Pass@1 · OpenAI Simple Evals · archived July 2025 ↗
o3-mini-high · DROP (Discrete Reasoning Over Paragraphs) · F1 · three-shot · OpenAI Simple Evals · archived July 2025 ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
3 of 4 shared benchmark comparisons
o3-mini →OpenAI
3 of 4 shared benchmark comparisons
o4-mini-high →OpenAI
3 of 4 shared benchmark comparisons
How similarity is measured
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
Sources
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
- PaperBench: Evaluating AI's Ability to Replicate AI Research — published result table ↗
All 13 authors
Giulio Starace, Oliver Jaffe, Dane Sherburn, James Aung, Jun Shern Chan, Leon Maksin, Rachel Dias, Evan Mays, Benjamin Kinsella, Wyatt Thompson, Johannes Heidecke, Amelia Glaese, Tejal Patwardhan
- Simple Evals — model benchmark results ↗
Names used in source tables
o3-mini-high