Model comparison
GPT-4.1 vs GPT-4.5
GPT-4.5 is the stronger model overall, scoring 37.2 to 35.9 on the Noometry Index.
Last verified . 31 shared benchmarks.
Summary
- They share 31 benchmarks with published results for both. GPT-4.1 scores higher in 4 categories and GPT-4.5 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-4.5 leads 32.6 to 22.3.
- The biggest single-benchmark swing is Aider Polyglot: 52.4% for GPT-4.1 and 44.9% for GPT-4.5.
Side by side
| GPT-4.1 | GPT-4.5 | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 35.9 | 37.2 |
| Released | 2025-04-14 | 2025-02-27 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 52 | 42 |
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Category by category
Coding GPT-4.5 leads
GPT-4.1: 34.4 (#238), GPT-4.5: 42.2 (#109)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| Aider Polyglot | 52.4% | 44.9% |
| WeirdML | 39% | 39.4% |
| LMArena Coding | 1391 | 1396 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| LiveBench Coding | — | 75.2% |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use GPT-4.1 leads
GPT-4.1: 34.7 (#43), GPT-4.5: 27.9 (#97)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
| Cybench | — | 17.5% |
Reasoning GPT-4.5 leads
GPT-4.1: 11.7 (#339), GPT-4.5: 13.9 (#330)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| ARC-AGI-2 | 0.4% | 0.8% |
| SimpleBench | 27% | 34.5% |
| ARC-AGI-1 | 5.5% | 10.3% |
| EnigmaEval | 2.2% | 3.2% |
| LMArena Hard Prompts | 1384 | 1403 |
| Epoch Capabilities Index | 136.78 | 136.74 |
| ForecastBench | 61.5 | 61.7 |
| Kagi LLM Benchmark | 52.3% | — |
| Chess Puzzles | 6% | — |
| LiveBench Reasoning | — | 71.1% |
| DTBench | 68.3% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 25.6% | — |
| LiveBench | — | 69% |
Math GPT-4.5 leads
GPT-4.1: 22.3 (#280), GPT-4.5: 32.6 (#211)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 38.3% | 37.8% |
| LMArena Math | 1370 | 1412 |
| MATH Level 5 | 83% | 78.6% |
| FrontierMath (Tiers 1-3) | 6% | — |
| Omni-MATH | 47.1% | — |
| LiveBench Math | — | 69.3% |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-4.1 leads
GPT-4.1: 37.1 (#160), GPT-4.5: 32.5 (#211)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 66.9% | 68.7% |
| Humanity's Last Exam | 5.4% | 5.4% |
| LMArena Expert | 1364 | 1394 |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Confabulations | — | 13.6% |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |
Multimodal Too close to call
GPT-4.1: 38.2 (#67), GPT-4.5: 37.6 (#71)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| LMArena Vision | 1211 | 1195 |
| GeoBench | 72% | — |
| VPCT | — | 45% |
Multilingual GPT-4.5 leads
GPT-4.1: 49.4 (#133), GPT-4.5: 52.5 (#83)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1370 | 1413 |
| LMArena Chinese | 1382 | 1421 |
| LMArena French | 1382 | 1418 |
| LMArena German | 1381 | 1457 |
| LMArena Japanese | 1319 | 1416 |
| LMArena Korean | 1339 | 1392 |
| LMArena Russian | 1377 | 1419 |
| LMArena Spanish | 1376 | — |
Instruction Following GPT-4.5 leads
GPT-4.1: 71.3 (#153), GPT-4.5: 72.6 (#134)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
| IFEval | 83.8% | — |
Long Context Too close to call
GPT-4.1: 40.0 (#163), GPT-4.5: 40.4 (#155)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| Fiction.LiveBench | 63.9% | 63.9% |
| LMArena Longer Query | 1385 | 1406 |
Writing & Preference Too close to call
GPT-4.1: 57.6 (#125), GPT-4.5: 56.9 (#134)
| Benchmark | GPT-4.1 | GPT-4.5 |
|---|---|---|
| LMArena Text | 1383 | 1417 |
| LMArena Creative Writing | 1363 | 1394 |
| EQ-Bench Creative Writing | 1420 | 1258 |
| LMArena Multi-Turn | 1398 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| WildBench | 85.4% | — |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is GPT-4.1 better than GPT-4.5?
GPT-4.5 is the stronger model overall, scoring 37.2 to 35.9 on the Noometry Index.
Is GPT-4.1 or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 34.4 in the Noometry coding category.
How many benchmarks do GPT-4.1 and GPT-4.5 share?
31 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and GPT-4.5 has 42.