OpenAI · model passport
OpenAI: GPT-5.1
gpt-5-1- Cloud only
- Proprietary licence
- 400,000 context
- Released 2025-11-13(from model name)
- Overall · LMArena
- 1,456#59 of 396
- Best percentile
- 97.3LiveCodeBench (Artificial Analysis)
- Cohort standing
- 64.7median 53.6
What the data says
Benchmarked on 22 of 27 tracked axes. Every figure below is the model's own published result on that board.
Strongest axes
- 97.3 pct — LiveCodeBench (Artificial Analysis) (86.8%)
- 96.6 pct — MMLU-Pro (Artificial Analysis) (87.0%)
- 90 pct — LiveBench (73.9%)
Weakest axes
- 5.3 pct — Document Arena (1,416)
Uneven: 92 percentile points between its best and worst axis — 97.3 pct on LiveCodeBench (Artificial Analysis) versus 5.3 pct on Document Arena.
- LiveCodeBench (Artificial Analysis)97.3 pct86.8%Verify →
- MMLU-Pro (Artificial Analysis)96.6 pct87.0%Verify →
- LiveBench90 pct73.9%Verify →
- IFBench (Artificial Analysis)87.7 pct72.9%Verify →
- Instruction following86.1 pct1,450Verify →
- Overall85.4 pct1,456Verify →
- Hard prompts84.6 pct1,477Verify →
- Coding79 pct1,492Verify →
- FrontierMath75.4 pct31.0%Verify →
- Factuality Arena74.4 pct1,458Verify →
- GPQA Diamond74.2 pct87.6%Verify →
- Vision Arena71.3 pct1,251Verify →
- AIME (math)68.5 pct88.6%Verify →
- Humanity's Last Exam63 pct23.7%Verify →
- SimpleQA Verified62.2 pct48.0%Verify →
- Terminal-Bench61.4 pct47.6%Verify →
- SimpleBench57.5 pct53.2%Verify →
- ARC-AGI-249.4 pct17.6%Verify →
- WebDev Arena37.4 pct1,396Verify →
- HHEM Hallucination (Vectara)35.2 pct89.1%Verify →
- SWE-bench Verified25 pct68.0%Verify →
- Document Arena5.3 pct1,416Verify →
- Search ArenaNot benchmarked
- Agent ArenaNot benchmarked
- BFCL v4 (function calling)Not benchmarked
- SWE-bench Verified (live board)Not benchmarked
- Terminal-Bench 4.0Not 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-5.1API 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-5.1","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-5.1-high stands at 64.7 (raw mean 66.7) — measured on 22 of 27 axes.
gpt-5.1-high stands at 64.7 versus a cohort median of 53.6 across 132 models released within 180 days — above the peer median.
gpt-5.1-high scores at percentile 97.3 on LiveCodeBench (Artificial Analysis).
gpt-5.1-high scores at percentile 96.6 on MMLU-Pro (Artificial Analysis).
gpt-5.1-high scores at percentile 5.3 on Document Arena.
gpt-5.1-high shows a 92.1-point percentile gap across 22 covered axes: 97.3 on LiveCodeBench (Artificial Analysis) versus 5.3 on Document Arena.
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 →