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GPT-5 mini (High)

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-mini/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

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

14.4

includes −3.1 for its Benchmaxxing signal (from 17.6; why, switch off in Options)

Benchmaxxing signal +3.1, light Benchmaxxing tag, uncertain: Based on only 9 comparisons and the 80 % interval reaches below zero — treat this tag as uncertain · light report →Based on only 9 comparisons and the 80 % interval reaches below zero — treat this tag as uncertain.

AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Coding v4.x: percentile 17AA Intelligence (est.): percentile 58AA Agentic: percentile 41Epoch ECI: percentile 28Software ECI: percentile 20

AA Coding v4.x 15.6Coding Agent v1.4 —AA Intelligence (est.) 6.3AA Agentic 8.9Epoch ECI 145.4Software ECI 145.5DesignArena —/—

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

Benchmark sheet

21 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

  • AA-Briefcase19438 Elo

    AA-Briefcase published 2026-09-10 → · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

  • GDPval-AA v242880 Elo

    GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Terminal-Bench Hard (AA)7833.3%

    Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

  • Terminal-Bench v2.1 (AA)93.7%

    Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.

  • Terminal-Bench v4.0 (AA)180.0%

    Terminal-Bench v4.0 (AA) v4.0 → · Published board — Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

  • AA Agentic Index418.90

    AA Agentic Index published 2026-09-18 → · Published board — Artificial Analysis publishes one Agentic Index per model, measured on its primary configuration and relayed by OpenRouter's Benchmarks API; the value is attached at family scope on the deterministic representative. Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

Coding

  • SciCode (AA subproblems) v1.0.12439.0%

    SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.

  • AA Coding Index v4.x · frozen 2026-10-271715.6

    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).

Instruction-following

Knowledge

Long-context

  • GDP.pdf (AA)408.4%

    GDP.pdf (AA) published 2026-09-10 → · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.

  • AA-LCR v1.17072.3%

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

Math

  • AIME 2025 (AA)9290.7%

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

  • HMMT November 2025 (MathArena) 2025-112284.2%

    HMMT November 2025 (MathArena) 2025-11 → · Published board — The 30 final-answer problems of the November 2025 Harvard-MIT Mathematics Tournament, one of the largest high-school math competitions in the United States, run by MathArena on the contest problems.

  • Apex 2025 (MathArena)201.0%

    Apex 2025 (MathArena) v2025 → · Published board — Twelve final-answer problems from 2025 competitions that MathArena selected because strong models of the time failed them; the selection is biased against the four models used to choose it (Grok 4, GPT-5, Gemini 2.5 Pro, GLM 4.5).

  • Apex Shortlist 2025 (MathArena)039.9%

    Apex Shortlist 2025 (MathArena) v2025 → · Published board — 47 final-answer problems from 2025 competitions on which at least one of two reference models (Grok 4 Fast, GPT-5 mini) got at least one of four attempts wrong, run by MathArena.

Science

Tool-use

  • AutomationBench-AA v1.0.6336.5%

    AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

  • τ²-Bench Telecom (AA)6268.4%

    τ²-Bench Telecom (AA) published 2026-09-10 → · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.

  • τ³-Banking (AA) v1.0.14415.5%

    τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.

Vision

Unusual results

1 threshold-crossing signal flagged · 19 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 strong IFBench (AA single-turn) published 2026-09-10
    Why
    Observed: 0.75442 fraction
    Peer mean 0.48006 · peer sd 0.17139 · n 450 · families 331
    Directed z 1.601 · baseline z -0.086 · gap 1.687 · profile n 18
    0.75442 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗
    Evidence
    Axis: IFBench (AA single-turn) · published 2026-09-10 · Published board
    Exact value: 0.754421768707483 fraction
    Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
    Observation id: aa:29855680-7469-43eb-8b88-cd3fb1d99da3:ifbench
Missing coverage · 298 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 mini (High)15.66.3est.
GPT-5 mini (Medium)—9.8est.
GPT-5 mini (Minimal)—4.5est.
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-mini/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 mini (High) — benchmarks & cost | Benchmark Heaven