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GPT-4o (May '24)

deprecated by benchmark source
OpenAI · released 2024-05-13 · 1 offer

Context 128K tokens

Top 1 cheapest providers (Adjusted $/task)

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-4o-2024-05-13/providers), collected 2026-11-03.

Composite

2 of 7 inputs6 radar axes: DesignArena's two boards share one

11.1

 Thin data · 2/7Based on only 2 of 7 Composite inputs — treat this rank as uncertain
AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Coding v4.x: percentile 29AA Intelligence (est.): percentile 25

AA Coding v4.x 24.2Coding Agent v1.4 —AA Intelligence (est.) 3.1AA 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.

Compare this model →

Agentic

Coding

  • AA Coding Index v4.x · frozen 2026-10-272924.2

    AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).

Efficiency

Knowledge

Science

Vision

  • CharXiv Reasoning val-v1.05747.1%

    CharXiv Reasoning val-v1.0 → · validation — Can a multimodal model reason over the real, messy charts in scientific papers — combining values, trends and labels across a figure — rather than read off templated plots?

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 Airline (OpenRouter run) — measured cost per task published 2026-09-15
    Why
    Observed: 1.13156 USD
    Peer mean 0.14611 · peer sd 0.24997 · n 117 · families 117
    Directed z -3.942 · baseline z -0.833 · gap -3.11 · profile n 6
    1.13156 USDmeasured· 50 tasks· 1.13 USD per task (measured by OpenRouter)observed 2026-09-15openrouter.ai ↗
    Evidence
    Axis: τ²-Bench Airline (OpenRouter run) — measured cost per task · published 2026-09-15 · Published board
    Exact value: 1.1315643 USD
    Tasks evaluated: 50
    Published mean cost: 1.1315643 USD per task (measured by OpenRouter) — measured by OpenRouter on τ²-Bench Airline (OpenRouter run) — measured cost per task
    Observed: 2026-09-15T23:29:03.209Z · publication date: not recorded
    Observation id: openrouter-cost:openai/gpt-4o-2024-05-13|tau_bench_verified_airline
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.

Token offers by platform · 1 offer (Adjusted $/task)

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

1 offer within the active global filters; “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-4o-2024-05-13/providers, collected 2026-11-03.

Azure
GPT-4o (May '24) — benchmarks & cost | Benchmark Heaven