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GPT-4.1 nano

deprecated by benchmark source
OpenAI · released 2025-04-14 · 5 offers

Context 1M 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
1Azure
2Azure AI Foundry

Composite

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

9.1

AA CodingCoding Agent v1.4AA IntelligenceAA AgenticEpoch ECISoftware ECIDesignArenaAA Coding: percentile 11AA Intelligence: percentile 33Epoch ECI: percentile 8Software ECI: percentile 1

AA Coding 11.1Coding Agent v1.4 —AA Intelligence 7.8AA Agentic —Epoch ECI 129.6Software ECI 125.8DesignArena —/—

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

Benchmark sheet

18 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
Compare this model →

Agentic

  • GDPval-AA v2513 Elo

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

  • Terminal-Bench Hard (AA)263.8%

    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.

  • τ²-Bench Airline (OpenRouter run)010.3%

    τ²-Bench Airline (OpenRouter run) published 2026-09-15 ↗ · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)

Coding

  • AA Coding Index1111.1

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

Efficiency

Instruction-following

  • IFBench (AA single-turn)1932.0%

    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)1454.0

    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 v1.12420.3%

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

Math

  • AIME 2025 (AA) v20252524.0%

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

Reasoning

Science

Tool-use

  • τ²-Bench Telecom (AA)1517.3%

    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) v1.0.143.5%

    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 · 20 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) published 2026-09-15
    Why
    Observed: 0.10333 fraction
    Peer mean 0.6311 · peer sd 0.15954 · n 118 · families 118
    Directed z -3.308 · baseline z -0.887 · gap -2.421 · profile n 19
    0.10333 fractionmeasured± 0.003 sd· 100 tasks· 0.01 USD per task (measured by OpenRouter)observed 2026-09-15openrouter.ai ↗
    Evidence
    Axis: τ²-Bench Airline (OpenRouter run) · published 2026-09-15 · Published board
    Exact value: 0.1033335 fraction
    Published standard deviation: 0.003333499999999996 fraction
    Tasks evaluated: 100
    Published mean cost: 0.0070183400000000005 USD per task (measured by OpenRouter) — measured by OpenRouter on τ²-Bench Airline (OpenRouter run)
    Observed: 2026-09-15T23:29:03.209Z · publication date: not recorded
    Observation id: openrouter:openai/gpt-4.1-nano-2025-04-14|tau_bench_verified_airline
Missing coverage · 125 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 · 4 offers (Adjusted $/task)

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

OpenRouter (2)

Azure
Azure

Azure AI Foundry (2)

Azure AI Foundry
Azure AI Foundry
GPT-4.1 nano — benchmarks & cost | Benchmark Heaven