OpenAI · model passport
OpenAI: GPT-5 Pro
gpt-5-pro- 400,000 context
- Released 2025-10-06(curated)
- Best percentile
- 92.1LiveBench
- Cohort standing
- 63.5median 53.0
What the data says
Benchmarked on 4 of 27 tracked axes. Every figure below is the model's own published result on that board.
Strongest axes
- 92.1 pct — LiveBench (74.7%)
Uneven: 41.5 percentile points between its best and worst axis — 92.1 pct on LiveBench versus 50.6 pct on ARC-AGI-2.
- LiveBench92.1 pct74.7%Verify →
- Humanity's Last Exam76.1 pct31.6%Verify →
- SimpleBench75.9 pct61.6%Verify →
- ARC-AGI-250.6 pct18.3%Verify →
- OverallNot benchmarked
- WebDev ArenaNot benchmarked
- Vision ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot benchmarked
- GPQA DiamondNot benchmarked
- AIME (math)Not benchmarked
- FrontierMathNot benchmarked
- SimpleQA VerifiedNot 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
- HHEM Hallucination (Vectara)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-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-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-pro-2025-10-06 stands at 63.5 (raw mean 73.7) — measured on 4 of 27 axes.
gpt-5-pro-2025-10-06 stands at 63.5 versus a cohort median of 53 across 138 models released within 180 days — above the peer median.
gpt-5-pro-2025-10-06 scores at percentile 92.1 on LiveBench.
On ARC-AGI-2, gpt-5-pro-2025-10-06 raised the running best score by 2.4 percentage points to 18.3% on 2025-10-06.
On Humanity's Last Exam, gpt-5-pro-2025-10-06 raised the running best score by 6.3 percentage points to 31.6% on 2025-10-06.
gpt-5-pro-2025-10-06 ranks between #88 and #166 across 2 built-in weightings — best under "All sources", worst under "Reasoning".
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 →