Benchmarks
More
OverviewBenchmaxxingCompareChartsCost vs CapabilityProviders per ModelProvider explorerGatewaysEU & SovereignJev-class modelsImage JevBenchAudioJevBenchSubmit a modelAbout
← All models

GPT-5.3 Codex (Xhigh)

OpenAI · released 2026-02-05 · 4 offers

Output 100 tokens/sFirst token 35 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.

#ProviderAdjusted $/task
1Azurevia OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/openai/gpt-5.3-codex/providers), collected 2026-11-03.
2Azure AI Foundrydirect — Direct price: Azure AI Foundry's own price list (https://prices.azure.com/api/retail/prices), collected 2026-11-03.

Composite

3 of 7 inputs · 2 from the model family6 radar axes: DesignArena's two boards share one

31.2

AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Intelligence (est.): percentile 83DesignArena: percentile 0

AA Coding v4.x —Coding Agent v1.4 —AA Intelligence (est.) 21.0AA Agentic —Epoch ECI —Software ECI —DesignArena 1019/983

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

Benchmark sheet

12 of 319 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):
  • DesignArena Web Apps (agentic) · attached
  • DesignArena Full-Stack · attached
Compare this model →

Agentic

Coding

  • DesignArena Web Apps (agentic)21,019 Elo

    DesignArena Web Apps (agentic) published 2026-11-03 → · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.

  • DesignArena Full-Stack0983 Elo

    DesignArena Full-Stack published 2026-11-03 → · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.

Instruction-following

Knowledge

Long-context

  • AA-LCR v1.19783.3%

    AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

Safety/Alignment

Science

Tool-use

Vision

Unusual results

3 threshold-crossing signals flagged · 14 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 2026-11-03
    Why
    Observed: 1019 Elo
    Peer mean 1186.64151 · peer sd 84.38324 · n 53 · families 51
    Directed z -1.987 · baseline z 0.684 · gap -2.67 · profile n 13
    1019 Elomeasured2246 battlesobserved 2026-11-03designarena.ai ↗
    Evidence
    Axis: DesignArena Web Apps (agentic) · published 2026-11-03 · Published board
    Exact value: 1019 Elo
    Observed: 2026-11-03 · publication date: not recorded
    Observation id: legacy:frontend:gpt-5.3-codex::xhigh
    Protocol: inspect · file data/raw/designarena.json
  • unusually weak DesignArena Full-Stack published 2026-11-03
    Why
    Observed: 983 Elo
    Peer mean 1168.5102 · peer sd 101.27576 · n 49 · families 48
    Directed z -1.832 · baseline z 0.672 · gap -2.503 · profile n 13
    983 Elomeasured1110 battlesobserved 2026-11-03designarena.ai ↗
    Evidence
    Axis: DesignArena Full-Stack · published 2026-11-03 · Published board
    Exact value: 983 Elo
    Observed: 2026-11-03 · publication date: not recorded
    Observation id: legacy:fullstack:gpt-5.3-codex::xhigh
    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 0.374 · gap 1.665 · profile n 13
    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
Missing coverage · 307 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, 2 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.

OpenRouter (1)

Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/openai/gpt-5.3-codex/providers, collected 2026-11-03.

Azure

Azure AI Foundry (1)

Direct prices from Azure AI Foundry's own price list. Source: prices.azure.com/api/retail/prices, collected 2026-11-03.

Azure AI Foundry
GPT-5.3 Codex (Xhigh) — benchmarks & cost | Benchmark Heaven