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aiqbench

OpenAI · model passport

OpenAI: GPT-5.4 Mini

gpt-5-4-mini
  • Cloud only
  • Proprietary licence
  • 400,000 context
  • Released 2026-10-09(first seen on LMArena)
15/27axes covered
Overall · LMArena
1,447#75 of 396
Best percentile
88.6IFBench (Artificial Analysis)
Cohort standing
65.6median 60.6

What the data says

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

Strongest axes

  • 88.6 pct — IFBench (Artificial Analysis) (73.3%)

Uneven: 65.4 percentile points between its best and worst axis — 88.6 pct on IFBench (Artificial Analysis) versus 23.2 pct on SimpleQA Verified.

  • IFBench (Artificial Analysis)88.6 pct73.3%Verify →
  • HHEM Hallucination (Vectara)83.8 pct94.5%Verify →
  • Hard prompts81.6 pct1,469Verify →
  • Overall81.3 pct1,447Verify →
  • Instruction following80.1 pct1,434Verify →
  • Coding79.8 pct1,495Verify →
  • LiveBench75.9 pct66.4%Verify →
  • FrontierMath72.5 pct28.3%Verify →
  • GPQA Diamond71.9 pct86.9%Verify →
  • Vision Arena70.7 pct1,251Verify →
  • AIME (math)70.5 pct88.9%Verify →
  • Factuality Arena61.6 pct1,447Verify →
  • ARC-AGI-251.7 pct18.9%Verify →
  • WebDev Arena38.1 pct1,398Verify →
  • SimpleQA Verified23.2 pct29.4%Verify →
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • Humanity's Last ExamNot benchmarked
  • SimpleBenchNot benchmarked
  • BFCL v4 (function calling)Not benchmarked
  • SWE-bench Verified (live board)Not benchmarked
  • Terminal-Bench 4.0Not benchmarked
  • MMLU-Pro (Artificial Analysis)Not benchmarked
  • LiveCodeBench (Artificial Analysis)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-5.4-mini
Context length400,000 tokens
Max output128,000 tokens
Acceptsfile, image, text
Input price$0.75 per 1M tokens
Cached input price$0.07 per 1M tokens
Output price$4.50 per 1M tokens

API parameters this endpoint supports

Include reasoningMax completion tokensMax tokensReasoningReasoning effortResponse formatSeedStructured outputsTool choiceTool callingVerbosity

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-5.4-mini","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-5.4-mini-high stands at 65.6 (raw mean 68.7) — measured on 15 of 27 axes.

    standingtemplateVerify →

  • gpt-5.4-mini-high stands at 65.6 versus a cohort median of 60.6 across 171 models released within 180 days — above 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 →