OpenAI · model passport
gpt-5.5-pro-pre-release
gpt-5-5-pro-pre-release- Best percentile
- 100.0AIME (math)
- Composite standing
- 74.1shrunk · 3/27 axes
What the data says
Benchmarked on 3 of 27 tracked axes. Every figure below is the model's own published result on that board.
Strongest axes
- 100 pct — AIME (math) (100.0%)
- 100 pct — FrontierMath (52.4%)
- 94.6 pct — GPQA Diamond (93.9%)
Uneven: 5.4 percentile points between its best and worst axis — 100 pct on AIME (math) versus 94.6 pct on GPQA Diamond.
- AIME (math)100 pct100.0%Verify →
- FrontierMath100 pct52.4%Verify →
- GPQA Diamond94.6 pct93.9%Verify →
- OverallNot benchmarked
- WebDev ArenaNot benchmarked
- Vision ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot benchmarked
- SimpleQA VerifiedNot benchmarked
- ARC-AGI-2Not benchmarked
- Humanity's Last ExamNot benchmarked
- SimpleBenchNot benchmarked
- LiveBenchNot benchmarked
- BFCL v4 (function calling)Not benchmarked
- SWE-bench Verified (live board)Not benchmarked
- Terminal-Bench 4.0Not benchmarked
- MMLU-Pro (Artificial Analysis)Not benchmarked
- LiveCodeBench (Artificial Analysis)Not benchmarked
- IFBench (Artificial Analysis)Not benchmarked
- HHEM Hallucination (Vectara)Not benchmarked
- SWE-bench VerifiedNot benchmarked
- Terminal-BenchNot benchmarked
- CodingNot benchmarked
- Instruction followingNot benchmarked
- Hard promptsNot benchmarked
Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.
gpt-5.5-pro-pre-release stands at 74.1 (raw mean 98.2) — measured on 3 of 27 axes.
gpt-5.5-pro-pre-release scores in the 100th percentile on AIME (math).
gpt-5.5-pro-pre-release scores in the 100th percentile on FrontierMath.
gpt-5.5-pro-pre-release ranks between #23 and #60 across 3 built-in weightings — best under "All sources", worst under "All-rounder".
Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →