Model comparison
GPT-5 vs GPT-5.1
GPT-5 is the stronger model overall, scoring 50.9 to 49.0 on the Noometry Index.
Last verified . 52 shared benchmarks.
Summary
- They share 52 benchmarks with published results for both. GPT-5 scores higher in 6 categories and GPT-5.1 in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5 leads 69.5 to 47.6.
- The biggest single-benchmark swing is GPQA (HELM): 79.2% for GPT-5 and 44.2% for GPT-5.1.
- Both cost about the same: $1.25 input and $10 output per million tokens.
Side by side
| GPT-5 | GPT-5.1 | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 50.9 | 49.0 |
| Released | 2025-08-07 | 2025-11-13 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $1.25 | $1.25 |
| Output $ / M tokens | $10 | $10 |
| Results tracked | 69 | 63 |
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Category by category
Coding GPT-5 leads
GPT-5: 50.3 (#47), GPT-5.1: 46.4 (#66)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| SWE-bench Verified | 73.6% | 68% |
| SWE-bench Verified (bash only) | 65% | 66% |
| LMArena WebDev | 1418 | 1395 |
| SciCode | 42.9% | 43.3% |
| GSO | 6.9% | 13.7% |
| WeirdML | 60.7% | 60.8% |
| LMArena Coding | 1436 | 1454 |
| ALE-Bench | 1,162 | 1,192 |
| Aider Polyglot | 88% | — |
| LiveBench Coding | — | 72.5% |
| AlgoTune | 1.67 | — |
Agentic & Tool Use Too close to call
GPT-5: 33.1 (#56), GPT-5.1: 32.7 (#60)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| Terminal-Bench | 49.6% | 47.6% |
| DeepResearch Bench | 49.6% | 42.8% |
| LMArena Search | 1133 | 1199 |
| GDPval | 34.8% | — |
| Remote Labor Index | 1.7% | — |
| BALROG | 32.8% | — |
| METR Time Horizons | 69.6% | — |
| Vending-Bench 2 | — | 1,473 |
Reasoning GPT-5.1 leads
GPT-5: 38.3 (#64), GPT-5.1: 39.8 (#58)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| ARC-AGI-2 | 9.9% | 17.6% |
| SimpleBench | 56.7% | 53.2% |
| ARC-AGI-1 | 65.7% | 72.8% |
| CritPt | 12.6% | 4.9% |
| Chess Puzzles | 37% | 32% |
| EnigmaEval | 10.5% | 11.2% |
| LMArena Hard Prompts | 1416 | 1457 |
| Mystery Game Puzzles | 23% | 19% |
| DTBench | 90.7% | 90.1% |
| LMCA | 40% | 43.9% |
| Epoch Capabilities Index | 150 | 149.64 |
| ForecastBench | 61.4 | 58.1 |
| Kagi LLM Benchmark | 72.7% | — |
| EBR-Bench | 12.7% | — |
| LiveBench Reasoning | — | 95.8% |
| LiveBench Data Analysis | — | 72.1% |
| LiveBench | — | 78.8% |
Math GPT-5 leads
GPT-5: 55.0 (#44), GPT-5.1: 52.2 (#51)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.4% | 88.6% |
| Omni-MATH | 64.7% | 46.4% |
| LMArena Math | 1407 | 1447 |
| FrontierMath (Feb 2025 set) | 32.4% | 31% |
| FrontierMath Tier 4 (v1) | 12.5% | 12.5% |
| FrontierMath (Tiers 1-3) | 55.4% | — |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 18% | — |
| LiveBench Math | — | 94.5% |
| MATH Level 5 | 98.1% | — |
Knowledge GPT-5 leads
GPT-5: 56.6 (#43), GPT-5.1: 50.6 (#71)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| GPQA Diamond | 86.2% | 87.6% |
| Humanity's Last Exam | 25.3% | 23.7% |
| SimpleQA Verified | 50.1% | 48% |
| MMLU-Pro | 86.3% | 57.9% |
| Vectara Hallucination Rate | 14.7% | 10.9% |
| GPQA (HELM) | 79.2% | 44.2% |
| LMArena Expert | 1419 | 1470 |
| Confabulations | 10.3% | — |
Multimodal GPT-5 leads
GPT-5: 46.8 (#13), GPT-5.1: 44.8 (#19)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| LMArena Vision | 1232 | 1250 |
| VPCT | 66% | 58.7% |
| GeoBench | 81% | — |
| LMArena Document | — | 1403 |
Multilingual GPT-5.1 leads
GPT-5: 51.4 (#110), GPT-5.1: 53.8 (#56)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| LMArena Non-English | 1397 | 1431 |
| LMArena Chinese | 1422 | 1495 |
| LMArena French | 1410 | 1450 |
| LMArena German | 1416 | 1438 |
| LMArena Japanese | 1409 | 1453 |
| LMArena Korean | 1360 | 1401 |
| LMArena Russian | 1406 | 1435 |
| LMArena Spanish | 1399 | 1433 |
Instruction Following GPT-5.1 leads
GPT-5: 73.8 (#113), GPT-5.1: 83.9 (#1)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| IFEval | 87.5% | 93.5% |
| LMArena Instruction Following | 1388 | 1443 |
| LiveBench Instruction Following | — | 93.3% |
Long Context GPT-5 leads
GPT-5: 69.5 (#2), GPT-5.1: 47.6 (#14)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| LMArena Longer Query | 1399 | 1447 |
| Fiction.LiveBench | 97.2% | — |
| CL-bench | — | 23.7% |
| CL-bench Life | — | 17.3% |
Writing & Preference GPT-5.1 leads
GPT-5: 63.4 (#65), GPT-5.1: 64.5 (#55)
| Benchmark | GPT-5 | GPT-5.1 |
|---|---|---|
| LMArena Text | 1406 | 1443 |
| LMArena Creative Writing | 1365 | 1427 |
| WildBench | 85.7% | 86.3% |
| LMArena Multi-Turn | 1426 | 1450 |
| Short-Story Creative Writing | 86% | — |
| EQ-Bench Creative Writing | 1627 | — |
| LiveBench Language | — | 80.2% |
Frequently asked questions
Is GPT-5 better than GPT-5.1?
GPT-5 is the stronger model overall, scoring 50.9 to 49.0 on the Noometry Index.
Which is cheaper, GPT-5 or GPT-5.1?
GPT-5.1 is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; GPT-5 lists at $1.25 and $10.
Is GPT-5 or GPT-5.1 better for coding?
GPT-5 scores higher on coding benchmarks: 50.3 versus 46.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 400K tokens.
How many benchmarks do GPT-5 and GPT-5.1 share?
52 benchmarks have published results for both models. GPT-5 has 69 scored results on Noometry and GPT-5.1 has 63.