Model comparison
GPT-4.5 vs GPT-5
GPT-5 is the stronger model overall, scoring 50.9 to 37.2 on the Noometry Index.
Last verified . 34 shared benchmarks.
Summary
- They share 34 benchmarks with published results for both. GPT-4.5 scores higher in 1 category and GPT-5 in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5 leads 69.5 to 40.4.
- The biggest single-benchmark swing is ARC-AGI-1: 10.3% for GPT-4.5 and 65.7% for GPT-5.
Side by side
| GPT-4.5 | GPT-5 | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 37.2 | 50.9 |
| Released | 2025-02-27 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 42 | 69 |
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Category by category
Coding GPT-5 leads
GPT-4.5: 42.2 (#109), GPT-5: 50.3 (#47)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| Aider Polyglot | 44.9% | 88% |
| WeirdML | 39.4% | 60.7% |
| LMArena Coding | 1396 | 1436 |
| SWE-bench Verified | — | 73.6% |
| SWE-bench Verified (bash only) | — | 65% |
| LMArena WebDev | — | 1418 |
| SciCode | — | 42.9% |
| GSO | — | 6.9% |
| LiveBench Coding | 75.2% | — |
| ALE-Bench | — | 1,162 |
| AlgoTune | — | 1.67 |
Agentic & Tool Use GPT-5 leads
GPT-4.5: 27.9 (#97), GPT-5: 33.1 (#56)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| Terminal-Bench | — | 49.6% |
| GDPval | — | 34.8% |
| Remote Labor Index | — | 1.7% |
| Cybench | 17.5% | — |
| DeepResearch Bench | — | 49.6% |
| BALROG | — | 32.8% |
| LMArena Search | — | 1133 |
| METR Time Horizons | — | 69.6% |
Reasoning GPT-5 leads
GPT-4.5: 13.9 (#330), GPT-5: 38.3 (#64)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| ARC-AGI-2 | 0.8% | 9.9% |
| SimpleBench | 34.5% | 56.7% |
| ARC-AGI-1 | 10.3% | 65.7% |
| EnigmaEval | 3.2% | 10.5% |
| LMArena Hard Prompts | 1403 | 1416 |
| Epoch Capabilities Index | 136.74 | 150 |
| ForecastBench | 61.7 | 61.4 |
| Kagi LLM Benchmark | — | 72.7% |
| CritPt | — | 12.6% |
| Chess Puzzles | — | 37% |
| EBR-Bench | — | 12.7% |
| LiveBench Reasoning | 71.1% | — |
| Mystery Game Puzzles | — | 23% |
| DTBench | — | 90.7% |
| LiveBench Data Analysis | 64.3% | — |
| LMCA | — | 40% |
| LiveBench | 69% | — |
Math GPT-5 leads
GPT-4.5: 32.6 (#211), GPT-5: 55.0 (#44)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 91.4% |
| LMArena Math | 1412 | 1407 |
| MATH Level 5 | 78.6% | 98.1% |
| FrontierMath (Tiers 1-3) | — | 55.4% |
| FrontierMath Tier 4 | — | 22% |
| ProofBench | — | 18% |
| Omni-MATH | — | 64.7% |
| LiveBench Math | 69.3% | — |
| FrontierMath (Feb 2025 set) | — | 32.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge GPT-5 leads
GPT-4.5: 32.5 (#211), GPT-5: 56.6 (#43)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| GPQA Diamond | 68.7% | 86.2% |
| Humanity's Last Exam | 5.4% | 25.3% |
| Confabulations | 13.6% | 10.3% |
| LMArena Expert | 1394 | 1419 |
| SimpleQA Verified | — | 50.1% |
| MMLU-Pro | — | 86.3% |
| Vectara Hallucination Rate | — | 14.7% |
| GPQA (HELM) | — | 79.2% |
Multimodal GPT-5 leads
GPT-4.5: 37.6 (#71), GPT-5: 46.8 (#13)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| LMArena Vision | 1195 | 1232 |
| VPCT | 45% | 66% |
| GeoBench | — | 81% |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), GPT-5: 51.4 (#110)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| LMArena Non-English | 1413 | 1397 |
| LMArena Chinese | 1421 | 1422 |
| LMArena French | 1418 | 1410 |
| LMArena German | 1457 | 1416 |
| LMArena Japanese | 1416 | 1409 |
| LMArena Korean | 1392 | 1360 |
| LMArena Russian | 1419 | 1406 |
| LMArena Spanish | — | 1399 |
Instruction Following GPT-5 leads
GPT-4.5: 72.6 (#134), GPT-5: 73.8 (#113)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1388 |
| LiveBench Instruction Following | 72.3% | — |
| IFEval | — | 87.5% |
Long Context GPT-5 leads
GPT-4.5: 40.4 (#155), GPT-5: 69.5 (#2)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| Fiction.LiveBench | 63.9% | 97.2% |
| LMArena Longer Query | 1406 | 1399 |
Writing & Preference GPT-5 leads
GPT-4.5: 56.9 (#134), GPT-5: 63.4 (#65)
| Benchmark | GPT-4.5 | GPT-5 |
|---|---|---|
| LMArena Text | 1417 | 1406 |
| LMArena Creative Writing | 1394 | 1365 |
| Short-Story Creative Writing | 75.6% | 86% |
| EQ-Bench Creative Writing | 1258 | 1627 |
| LMArena Multi-Turn | 1444 | 1426 |
| WildBench | — | 85.7% |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than GPT-5?
GPT-5 is the stronger model overall, scoring 50.9 to 37.2 on the Noometry Index.
Is GPT-4.5 or GPT-5 better for coding?
GPT-5 scores higher on coding benchmarks: 50.3 versus 42.2 in the Noometry coding category.
How many benchmarks do GPT-4.5 and GPT-5 share?
34 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and GPT-5 has 69.