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aiqbench

OpenAI · model passport

OpenAI: GPT-4.1 Nano

gpt-4-1-nano
  • Cloud only
  • Proprietary licence
  • 1,047,576 context
  • Released 2025-04-14(curated)
15/27axes covered
Overall · LMArena
1,322#238 of 396
Best percentile
50.0BFCL v4 (function calling)
Cohort standing
33.2median 48.1

What the data says

Benchmarked on 15 of 27 tracked axes. Every figure below is the model's own published result on that board.

Weakest axes

  • 1.2 pct — SimpleQA Verified (6.0%)
  • 11.2 pct — ARC-AGI-2 (0.0%)
  • 14.5 pct — FrontierMath (1.0%)

Uneven: 48.8 percentile points between its best and worst axis — 50 pct on BFCL v4 (function calling) versus 1.2 pct on SimpleQA Verified.

  • BFCL v4 (function calling)Dormant board50 pct33.0%Verify →
  • Coding43.7 pct1,373Verify →
  • LiveCodeBench (Artificial Analysis)42.7 pct32.6%Verify →
  • Hard prompts41.7 pct1,333Verify →
  • Overall40.2 pct1,322Verify →
  • Instruction following38.6 pct1,300Verify →
  • GPQA Diamond32.6 pct48.9%Verify →
  • MMLU-Pro (Artificial Analysis)32.2 pct65.7%Verify →
  • AIME (math)31.5 pct28.9%Verify →
  • LiveBench26.5 pct39.7%Verify →
  • IFBench (Artificial Analysis)21.6 pct32.0%Verify →
  • Vision Arena19.3 pct1,089Verify →
  • FrontierMath14.5 pct1.0%Verify →
  • ARC-AGI-211.2 pct0.0%Verify →
  • SimpleQA Verified1.2 pct6.0%Verify →
  • WebDev ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • Humanity's Last ExamNot benchmarked
  • SimpleBenchNot benchmarked
  • SWE-bench Verified (live board)Not benchmarked
  • Terminal-Bench 4.0Not benchmarked
  • HHEM Hallucination (Vectara)Not benchmarked
  • SWE-bench VerifiedNot benchmarked
  • Terminal-BenchNot benchmarked

Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.

How to run it

Use it hosted

API model IDopenai/gpt-4.1-nano
Context length1,047,576 tokens
Max output32,768 tokens
Acceptsimage, text, file
Input price$0.10 per 1M tokens
Cached input price$0.03 per 1M tokens
Output price$0.40 per 1M tokens

API parameters this endpoint supports

Max completion tokensMax tokensResponse formatSeedStructured outputsTemperatureTool choiceTool callingTop-p

Example request

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-4.1-nano","messages":[{"role":"user","content":"Hello"}]}'

View on OpenRouter →

Identifiers, limits and prices are synced from the upstream source shown above. Any field we haven't synced is left out entirely rather than guessed.

  • gpt-4.1-nano-2025-04-14 stands at 33.2 (raw mean 29.8) — measured on 15 of 27 axes.

    standingtemplateVerify →

  • gpt-4.1-nano-2025-04-14 stands at 33.2 versus a cohort median of 48.1 across 151 models released within 180 days — below the peer median.

    cohorttemplateVerify →

Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →