# GPT-4.1 vs GPT-5

> GPT-5 is the stronger model overall, scoring 50.9 to 35.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-vs-gpt-5
- Last updated: 2026-10-10
- Shared benchmarks: 50

## Summary

- They share 50 benchmarks with published results for both. GPT-4.1 scores higher in 1 category and GPT-5 in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 leads 54.6 to 21.4.
- The biggest single-benchmark swing is ARC-AGI-1: 5.5% for GPT-4.1 and 65.7% for GPT-5.
- Both cost about the same: $2 input and $8 output per million tokens.
- GPT-4.1 accepts more context: 1.05M tokens versus 400K.

## Snapshot

| | GPT-4.1 | GPT-5 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 35.7 | 50.9 |
| Rank | 215 | 37 |
| Context | 1.05M | 400K |
| Input $/M | $2 | $1.25 |
| Output $/M | $8 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1: 34.2 (#228)
- GPT-5: 50.7 (#39)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| SWE-bench Verified | 48.5% | 73.6% |
| SWE-bench Verified (bash only) | 39.6% | 65% |
| Aider Polyglot | 52.4% | 88% |
| WeirdML | 39% | 60.7% |
| LMArena Coding | 1391 | 1436 |
| ALE-Bench | 558.1 | 1,162 |
| LMArena WebDev | — | 1417 |
| SciCode | — | 42.9% |
| GSO | — | 6.9% |
| CadEval | 42% | — |
| AlgoTune | — | 1.67 |

## Agentic & Tool Use

- GPT-4.1: 34.4 (#40)
- GPT-5: 33.0 (#53)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| Terminal-Bench | — | 49.6% |
| Berkeley Function Calling Leaderboard | 54% | — |
| GDPval | — | 34.8% |
| Remote Labor Index | — | 1.7% |
| DeepResearch Bench | — | 49.6% |
| BALROG | — | 32.8% |
| LMArena Search | — | 1133 |
| METR Time Horizons | — | 69.6% |

## Reasoning

- GPT-4.1: 11.7 (#334)
- GPT-5: 38.3 (#55)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| ARC-AGI-2 | 0.4% | 9.9% |
| SimpleBench | 27% | 56.7% |
| Kagi LLM Benchmark | 52.3% | 72.7% |
| ARC-AGI-1 | 5.5% | 65.7% |
| Chess Puzzles | 6% | 37% |
| EnigmaEval | 2.2% | 10.5% |
| LMArena Hard Prompts | 1384 | 1415 |
| DTBench | 68.3% | 90.7% |
| LMCA | 25.6% | 40% |
| Epoch Capabilities Index | 136.79 | 150 |
| ForecastBench | 61.5 | 61.4 |
| CritPt | — | 12.6% |
| EBR-Bench | — | 12.7% |
| Mystery Game Puzzles | — | 23% |

## Math

- GPT-4.1: 21.4 (#269)
- GPT-5: 54.6 (#36)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6% | 55.4% |
| OTIS Mock AIME 2024-2025 | 38.3% | 91.4% |
| Omni-MATH | 47.1% | 64.7% |
| LMArena Math | 1369 | 1406 |
| MATH Level 5 | 83% | 98.1% |
| FrontierMath (Feb 2025 set) | 5.5% | 32.4% |
| FrontierMath Tier 4 (v1) | 0% | 12.5% |
| FrontierMath Tier 4 | — | 22% |
| ProofBench | — | 18% |

## Knowledge

- GPT-4.1: 37.0 (#152)
- GPT-5: 56.5 (#37)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| GPQA Diamond | 66.9% | 86.2% |
| Humanity's Last Exam | 5.4% | 25.3% |
| SimpleQA Verified | 31.1% | 50.1% |
| MMLU-Pro | 81.1% | 86.3% |
| Vectara Hallucination Rate | 5.6% | 14.7% |
| GPQA (HELM) | 65.9% | 79.2% |
| LMArena Expert | 1364 | 1420 |
| Confabulations | — | 10.3% |

## Multimodal

- GPT-4.1: 37.5 (#66)
- GPT-5: 46.1 (#12)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| LMArena Vision | 1210 | 1232 |
| GeoBench | 72% | 81% |
| VPCT | — | 66% |

## Multilingual

- GPT-4.1: 49.6 (#128)
- GPT-5: 51.5 (#105)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| LMArena Non-English | 1370 | 1397 |
| LMArena Chinese | 1382 | 1423 |
| LMArena French | 1383 | 1409 |
| LMArena German | 1380 | 1415 |
| LMArena Japanese | 1320 | 1411 |
| LMArena Korean | 1339 | 1361 |
| LMArena Russian | 1377 | 1406 |
| LMArena Spanish | 1375 | 1398 |

## Instruction Following

- GPT-4.1: 71.5 (#148)
- GPT-5: 74.0 (#107)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| IFEval | 83.8% | 87.5% |
| LMArena Instruction Following | 1367 | 1388 |

## Long Context

- GPT-4.1: 40.0 (#158)
- GPT-5: 69.5 (#2)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| Fiction.LiveBench | 63.9% | 97.2% |
| LMArena Longer Query | 1385 | 1399 |

## Writing & Preference

- GPT-4.1: 57.8 (#120)
- GPT-5: 63.5 (#63)

| Benchmark | GPT-4.1 | GPT-5 |
|---|---|---|
| LMArena Text | 1383 | 1406 |
| LMArena Creative Writing | 1363 | 1365 |
| EQ-Bench Creative Writing | 1420 | 1627 |
| WildBench | 85.4% | 85.7% |
| LMArena Multi-Turn | 1398 | 1426 |
| Short-Story Creative Writing | — | 86% |

## FAQ

### Is GPT-4.1 better than GPT-5?

GPT-5 is the stronger model overall, scoring 50.9 to 35.7 on the Noometry Index.

### Which is cheaper, GPT-4.1 or GPT-5?

GPT-5 is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; GPT-4.1 lists at $2 and $8.

### Is GPT-4.1 or GPT-5 better for coding?

GPT-5 scores higher on coding benchmarks: 50.7 versus 34.2 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 400K.

### How many benchmarks do GPT-4.1 and GPT-5 share?

50 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and GPT-5 has 69.