OpenAI · model passport
OpenAI: GPT-5.4 Pro
gpt-5-4-pro- 1,050,000 context
- Released 2026-03-05(from model name)
- Best percentile
- 97.3GPQA Diamond
- Cohort standing
- 72.6median 57.2
What the data says
Benchmarked on 7 of 27 tracked axes. Every figure below is the model's own published result on that board.
Strongest axes
- 97.3 pct — GPQA Diamond (94.6%)
- 97.1 pct — FrontierMath (50.0%)
- 90.8 pct — SimpleBench (74.1%)
Uneven: 41.2 percentile points between its best and worst axis — 97.3 pct on GPQA Diamond versus 56.1 pct on SimpleQA Verified.
- GPQA Diamond97.3 pct94.6%Verify →
- FrontierMath97.1 pct50.0%Verify →
- SimpleBench90.8 pct74.1%Verify →
- Humanity's Last Exam89.1 pct44.3%Verify →
- ARC-AGI-284.3 pct83.3%Verify →
- HHEM Hallucination (Vectara)61 pct91.7%Verify →
- SimpleQA Verified56.1 pct46.3%Verify →
- OverallNot benchmarked
- WebDev ArenaNot benchmarked
- Vision ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot benchmarked
- AIME (math)Not benchmarked
- LiveBenchNot 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
- IFBench (Artificial Analysis)Not benchmarked
- SWE-bench VerifiedNot benchmarked
- Terminal-BenchNot benchmarked
- CodingNot benchmarked
- Instruction followingNot benchmarked
- Hard promptsNot 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
openai/gpt-5.4-proAPI parameters this endpoint supports
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-pro","messages":[{"role":"user","content":"Hello"}]}'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-pro-2026-03-05 stands at 72.6 (raw mean 82.2) — measured on 7 of 27 axes.
gpt-5.4-pro-2026-03-05 stands at 72.6 versus a cohort median of 57.2 across 103 models released within 180 days — above the peer median.
gpt-5.4-pro-2026-03-05 scores at percentile 97.3 on GPQA Diamond.
gpt-5.4-pro-2026-03-05 scores at percentile 97.1 on FrontierMath.
On GPQA Diamond, gpt-5.4-pro-2026-03-05 raised the running best score by 3.2 percentage points to 94.6% on 2026-03-05.
On FrontierMath, gpt-5.4-pro-2026-03-05 raised the running best score by 9.3 percentage points to 50% on 2026-03-05.
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 →