GPT-5 (ChatGPT)
Context 128K tokens
Providers
No provider publishes an API price for this model yet, so no cost can be modeled.
Composite
1 of 7 inputs6 radar axes: DesignArena's two boards share one10.0
Thin data · 1/7Based on only 1 of 7 Composite inputs — treat this rank as uncertaindominance-adjusted from 15.1: a better-measured model that is at least as good on each of these inputs ranks above it
AA Coding v4.x —Coding Agent v1.4 —AA Intelligence (est.) 4.8AA Agentic —Epoch ECI —Software ECI —DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
7 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
Agentic
Terminal-Bench Hard (AA)4912.9%
Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.
Instruction-following
IFBench (AA single-turn)5145.0%
IFBench (AA single-turn) published 2026-09-10 → · Published board — Tests precise single-turn instructions with deterministic rule checks.
Knowledge
Humanity's Last Exam (AA text-only)426.6%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
Long-context
AA-LCR v1.15965.0%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Math
AIME 2025 (AA)4748.3%
AIME 2025 (AA) v2025 → · Published board — Advanced mathematical problem solving on AIME I and II 2025.
Science
GPQA Diamond (AA)4668.6%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
Tool-use
τ²-Bench Telecom (AA)30.0%
τ²-Bench Telecom (AA) published 2026-09-10 → · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.
Unusual results
1 threshold-crossing signal flagged · 7 eligible benchmark families
How flags are calculated
Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.
- unusually weak τ²-Bench Telecom (AA) published 2026-09-10
Why
Observed: 0 fractionPeer mean 0.51002 · peer sd 0.31633 · n 440 · families 323Directed z -1.612 · baseline z -0.087 · gap -1.525 · profile n 60 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: τ²-Bench Telecom (AA) · published 2026-09-10 · Published boardExact value:0fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation id:aa:eab1492c-b853-4852-aa71-06b0ec2481c1:tau2
Missing coverage · 312 benchmark versions
No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.