BenchAtlas

Rankings / OpenAI

GPT 5.5 Pro (2026-04-23)

released 2026-04-23

BenchAtlas Index

as of 2026-07-14
Not enough benchmark coverage for a composite score (needs ≥4 families across ≥3 categories). The per-benchmark evidence below stands on its own — sparse coverage is an evidence gap, not a low score.

Benchmark evidence

19 results
external indices
ECIhigh effort160.7 pointsindependentEpoch AI Benchmarking Hub
ECIxhigh effort160.7 pointsindependentEpoch AI Benchmarking Hub
ECI160.7 pointsindependentEpoch AI Benchmarking Hub
reasoning math
ARC-AGI-1older version
split=public_eval · model_type=CoT
high effort98.0 %independentARC Prize Leaderboard
ARC-AGI-1older version
split=public_eval · model_type=CoT
xhigh effort98.0 %independentARC Prize Leaderboard
ARC-AGI-1older version
split=semi_private · model_type=CoT
high effort96.5 %independentARC Prize Leaderboard
ARC-AGI-1older version
split=semi_private · model_type=CoT
xhigh effort95.0 %independentARC Prize Leaderboard
ARC-AGI-2
split=public_eval · model_type=CoT
xhigh effort90.4 %independentARC Prize Leaderboard
ARC-AGI-2
split=public_eval · model_type=CoT
high effort90.1 %independentARC Prize Leaderboard
ARC-AGI-2
split=semi_private · model_type=CoT
high effort84.6 %independentARC Prize Leaderboard
ARC-AGI-2
split=semi_private · model_type=CoT
xhigh effort84.2 %independentARC Prize Leaderboard
ARC-AGI-2
split=public_eval · model_type=CoT
xhigh effort11.1 usd_per_taskindependentARC Prize Leaderboard
ARC-AGI-2
split=semi_private · model_type=CoT
xhigh effort10.8 usd_per_taskindependentARC Prize Leaderboard
ARC-AGI-2
split=semi_private · model_type=CoT
high effort10.5 usd_per_taskindependentARC Prize Leaderboard
ARC-AGI-2
split=public_eval · model_type=CoT
high effort10.4 usd_per_taskindependentARC Prize Leaderboard
ARC-AGI-1older version
split=semi_private · model_type=CoT
high effort4.5 usd_per_taskindependentARC Prize Leaderboard
ARC-AGI-1older version
split=semi_private · model_type=CoT
xhigh effort4.5 usd_per_taskindependentARC Prize Leaderboard
ARC-AGI-1older version
split=public_eval · model_type=CoT
xhigh effort3.3 usd_per_taskindependentARC Prize Leaderboard
ARC-AGI-1older version
split=public_eval · model_type=CoT
high effort3.2 usd_per_taskindependentARC Prize Leaderboard