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GPT-5 (Medium)

deprecated by benchmark source
OpenAI · released 2025-08-07 · 5 offers

Context 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/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

31.3

AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Intelligence (est.): percentile 70Epoch ECI: percentile 42Software ECI: percentile 29

AA Coding v4.x —Coding Agent v1.4 —AA Intelligence (est.) 11.8AA Agentic —Epoch ECI 150.0Software ECI 148.9DesignArena —/—

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

Benchmark sheet

15 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):
  • Epoch ECI · attached
  • Software ECI · attached
Compare this model →

Agentic

Efficiency

Instruction-following

  • IFBench (AA single-turn)8570.6%

    IFBench (AA single-turn) published 2026-09-10 → · Published board — Tests precise single-turn instructions with deterministic rule checks.

  • LisanBench word chains, v0.2.0 (Lisan al Gaib)732,247

    LisanBench word chains, v0.2.0 (Lisan al Gaib) v0.2.0 → · Published board — A model builds the longest chain of English words it can, each differing from the last by one letter, with no repeats and only dictionary words, from 50 starting words; any broken rule ends the chain.

Knowledge

Long-context

  • AA-LCR v1.17776.0%

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

Math

  • AIME 2025 (AA)9391.7%

    AIME 2025 (AA) v2025 → · Published board — Advanced mathematical problem solving on AIME I and II 2025.

Science

Tool-use

Vision

Unusual results

1 threshold-crossing signal 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 τ²-Bench Airline (OpenRouter run) — measured cost per task published 2026-09-15
    Why
    Observed: 0.68219 USD
    Peer mean 0.14611 · peer sd 0.24997 · n 117 · families 117
    Directed z -2.145 · baseline z 0.568 · gap -2.713 · profile n 14
    0.68219 USDmeasured· 98 tasks· 0.68 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: 0.6821915918367347 USD
    Tasks evaluated: 98
    Published mean cost: 0.6821915918367347 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-5-2025-08-07|tau_bench_verified_airline
Missing coverage · 304 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.

Variants / reasoning settings

Artificial Analysis snapshot 2026-11-03 · Intelligence Index v5.0 (est. = estimated from v4, not measured) · Coding Index v4.x frozen 2026-10-27 · Data: Artificial Analysis · Data: Epoch AI (CC BY)

VariantAA CodingAA Intelligence
GPT-5 (High)37.811.8est.
GPT-5 (Low)—9.8est.
GPT-5 (Medium)—11.8est.
GPT-5 (Minimal)—5.1est.
Token offers by platform · 4 offers (Adjusted $/task)

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

4 offers within the active global filters, 1 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 (2)

Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/openai/gpt-5/providers, collected 2026-11-03.

Azure
Azure

Azure AI Foundry (2)

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

Azure AI Foundry
Azure AI Foundry
GPT-5 (Medium) — benchmarks & cost | Benchmark Heaven