GPT-5.3 Codex (xhigh)

OpenAI · released 2026-02-05 · 4 offers

Output 134 tokens/sFirst token 40 sContext 400K tokens

Top 2 cheapest providers (Adjusted $/task)

The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.

Within the active global provider, residency and confidentiality filters.

#	Provider	Platform	Raw input $/1M	Raw output $/1M	Adjusted $/task
1	Azure	OpenRouter	$1.75	$14.00
2	Azure AI Foundry	Azure AI Foundry	$1.75	$14.00

Composite

5 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one

63.6

AA Coding —Coding Agent v1.4 —AA Intelligence 32.5AA Agentic —Epoch ECI 156.6Software ECI 156.9DesignArena 1048/993

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

12 of 140 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

Composite attachments (used in the score, not counted as exact benchmarks):

Epoch ECI · attached
Software ECI · attached
DesignArena Web Apps (agentic) · attached
DesignArena Full-Stack · attached

Compare this model →

Agentic

AA-Briefcase42866 Elo2026-09-10
AA-Briefcase published 2026-09-10 ↗ · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.
Terminal-Bench Hard (AA)9653.0%2026-09-10
Terminal-Bench Hard (AA) pinned revision 74221fb ↗ · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

Coding

DesignArena Web Apps (agentic)21,048 Elo2026-09-19
DesignArena Web Apps (agentic) published 2026-09-19 ↗ · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.
DesignArena Full-Stack0993 Elo2026-09-19
DesignArena Full-Stack published 2026-09-19 ↗ · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.

Instruction-following

IFBench (AA single-turn)9375.4%2026-09-10
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)9442.5%2026-09-10
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.
AA-Omniscience Index8810.92026-09-10
AA-Omniscience Index published 2026-09-10 ↗ · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.

Long-context

AA-LCR v1.19883.3%2026-09-10
AA-LCR v1.1 v1.1 ↗ · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

Reasoning

AA Intelligence Index8932.52026-09-19
AA Intelligence Index published 2026-09-19 ↗ · Published board — Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

Safety/Alignment

BullshitBench V1 (clear pushback)1510.9%2026-09-15
BullshitBench V1 (clear pushback) published 2026-09-10 ↗ · Published board — Whether a model rejects the broken premise of 55 deliberately nonsensical prompts (V1 question set) instead of answering them confidently.
BullshitBench V2 (clear pushback)2919.0%2026-09-15
BullshitBench V2 (clear pushback) published 2026-09-10 ↗ · Published board — Whether a model rejects the broken premise of 100 deliberately nonsensical prompts (V2 question set) instead of answering them confidently.

Science

CritPt (AA)9116.9%2026-09-10
CritPt (AA) published 2026-09-10 ↗ · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)9391.5%2026-09-10
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)7886.0%2026-09-10
τ²-Bench Telecom (AA) published 2026-09-10 ↗ · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.

Vision

MMMU Pro (AA)8078.5%2026-09-10
MMMU Pro (AA) published 2026-09-10 ↗ · Published board — Tests multimodal understanding using challenging ten-option questions.

Unusual results

3 threshold-crossing signals flagged · 15 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 DesignArena Web Apps (agentic) published 2026-09-19
Why
Observed: 1048 Elo
Peer mean 1198.82222 · peer sd 77.91656 · n 45 · families 44
Directed z -1.936 · baseline z 0.774 · gap -2.709 · profile n 14
1048 Elomeasured2243 battlesobserved 2026-09-19designarena.ai ↗
Evidence
Axis: DesignArena Web Apps (agentic) · published 2026-09-19 · Published board
Exact value: 1048 Elo
Observed: 2026-09-19 · publication date: not recorded
Observation id: legacy:frontend:gpt-5.3-codex::xhigh
Source: https://www.designarena.ai/leaderboard/webapps
Protocol: inspect · file data/raw/designarena.json
unusually weak DesignArena Full-Stack published 2026-09-19
Why
Observed: 993 Elo
Peer mean 1176.70213 · peer sd 102.68003 · n 47 · families 46
Directed z -1.789 · baseline z 0.763 · gap -2.552 · profile n 14
993 Elomeasured1109 battlesobserved 2026-09-19designarena.ai ↗
Evidence
Axis: DesignArena Full-Stack · published 2026-09-19 · Published board
Exact value: 993 Elo
Observed: 2026-09-19 · publication date: not recorded
Observation id: legacy:fullstack:gpt-5.3-codex::xhigh
Source: https://www.designarena.ai/leaderboard/fullstack
Protocol: inspect · file data/raw/designarena.json
unusually strong Terminal-Bench Hard (AA)
Why
Observed: 0.5303 fraction
Peer mean 0.18472 · peer sd 0.16951 · n 432 · families 315
Directed z 2.039 · baseline z 0.49 · gap 1.549 · profile n 14
0.5303 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗
Evidence
Axis: Terminal-Bench Hard (AA) · pinned revision 74221fb · Published board
Exact value: 0.53030303030303 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:59b5b14b-5365-4ee7-824a-18a8e6309644:terminalbenchHard
Source: https://artificialanalysis.ai/models/gpt-5-6-sol
Exact observation and full protocol ↗

Missing coverage · 130 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.

SUBSCRIPTION PLAN

GitHub Copilot

Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.

Input $1.75 / 1M

Cached input $0.175 / 1M

Output $14.00 / 1M

Status GA

Legacy annual Pro/Pro+ request billing only.

Multiplier 6.00×

Effective cost $0.240 / request

Legacy annual-plan multiplier.

Token offers by platform · 2 offers (Adjusted $/task)

Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.

2 offers within the active global filters; “—” means the catalog is active but no public token price is available.

OpenRouter (1)

Azure

Azure AI Foundry (1)

Azure AI Foundry