Model comparison
GPT-5.1 vs o3-pro
GPT-5.1 is the stronger model overall, scoring 49.0 to 42.9 on the Noometry Index.
Last verified . 7 shared benchmarks.
Summary
- They share 7 benchmarks with published results for both. GPT-5.1 scores higher in 3 categories and o3-pro in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 47.6.
- The biggest single-benchmark swing is ARC-AGI-1: 72.8% for GPT-5.1 and 59.3% for o3-pro.
- GPT-5.1 is cheaper at $1.25 / $10 per million input/output tokens, against $20 / $80 for o3-pro.
- GPT-5.1 accepts more context: 400K tokens versus 200K.
Side by side
| GPT-5.1 | o3-pro | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 49.0 | 42.9 |
| Released | 2025-11-13 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $1.25 | $20 |
| Output $ / M tokens | $10 | $80 |
| Results tracked | 63 | 12 |
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Category by category
Coding o3-pro leads
GPT-5.1: 46.4 (#66), o3-pro: 55.5 (#24)
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| WeirdML | 60.8% | 58.2% |
| SWE-bench Verified | 68% | — |
| SWE-bench Verified (bash only) | 66% | — |
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1395 | — |
| SciCode | 43.3% | — |
| GSO | 13.7% | — |
| LiveBench Coding | 72.5% | — |
| LMArena Coding | 1454 | — |
| ALE-Bench | 1,192 | — |
Agentic & Tool Use Not comparable
GPT-5.1: 32.7 (#60), o3-pro: —
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| Terminal-Bench | 47.6% | — |
| DeepResearch Bench | 42.8% | — |
| LMArena Search | 1199 | — |
| Vending-Bench 2 | 1,473 | — |
Reasoning GPT-5.1 leads
GPT-5.1: 39.8 (#58), o3-pro: 23.8 (#171)
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| ARC-AGI-2 | 17.6% | 4.9% |
| ARC-AGI-1 | 72.8% | 59.3% |
| DTBench | 90.1% | 86.9% |
| LMCA | 43.9% | 38.5% |
| Epoch Capabilities Index | 149.64 | 147.42 |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | — | 72.1% |
| CritPt | 4.9% | — |
| Chess Puzzles | 32% | — |
| EnigmaEval | 11.2% | — |
| LiveBench Reasoning | 95.8% | — |
| LMArena Hard Prompts | 1457 | — |
| Mystery Game Puzzles | 19% | — |
| LiveBench Data Analysis | 72.1% | — |
| ForecastBench | 58.1 | — |
| LiveBench | 78.8% | — |
Math Not comparable
GPT-5.1: 52.2 (#51), o3-pro: —
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.6% | — |
| Omni-MATH | 46.4% | — |
| LiveBench Math | 94.5% | — |
| LMArena Math | 1447 | — |
| FrontierMath (Feb 2025 set) | 31% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GPT-5.1 leads
GPT-5.1: 50.6 (#71), o3-pro: 29.5 (#238)
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 10.9% | 23.3% |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 23.7% | — |
| SimpleQA Verified | 48% | — |
| MMLU-Pro | 57.9% | — |
| Confabulations | — | 14.2% |
| GPQA (HELM) | 44.2% | — |
| LMArena Expert | 1470 | — |
Multimodal Not comparable
GPT-5.1: 44.8 (#19), o3-pro: —
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| LMArena Vision | 1250 | — |
| VPCT | 58.7% | — |
| LMArena Document | 1403 | — |
Multilingual Not comparable
GPT-5.1: 53.8 (#56), o3-pro: —
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| LMArena Non-English | 1431 | — |
| LMArena Chinese | 1495 | — |
| LMArena French | 1450 | — |
| LMArena German | 1438 | — |
| LMArena Japanese | 1453 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1435 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Not comparable
GPT-5.1: 83.9 (#1), o3-pro: —
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| LiveBench Instruction Following | 93.3% | — |
| IFEval | 93.5% | — |
| LMArena Instruction Following | 1443 | — |
Long Context o3-pro leads
GPT-5.1: 47.6 (#14), o3-pro: 72.2 (#1)
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| CL-bench | 23.7% | — |
| CL-bench Life | 17.3% | — |
| LMArena Longer Query | 1447 | — |
Writing & Preference GPT-5.1 leads
GPT-5.1: 64.5 (#55), o3-pro: 57.1 (#133)
| Benchmark | GPT-5.1 | o3-pro |
|---|---|---|
| LMArena Text | 1443 | — |
| LMArena Creative Writing | 1427 | — |
| Short-Story Creative Writing | — | 84.4% |
| WildBench | 86.3% | — |
| LMArena Multi-Turn | 1450 | — |
| LiveBench Language | 80.2% | — |
Frequently asked questions
Is GPT-5.1 better than o3-pro?
GPT-5.1 is the stronger model overall, scoring 49.0 to 42.9 on the Noometry Index.
Which is cheaper, GPT-5.1 or o3-pro?
GPT-5.1 is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; o3-pro lists at $20 and $80.
Is GPT-5.1 or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 46.4 in the Noometry coding category.
Which has the bigger context window?
GPT-5.1 does, with 400K tokens against 200K.
How many benchmarks do GPT-5.1 and o3-pro share?
7 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and o3-pro has 12.