# GPT-4.1 vs Grok 4.5

> Grok 4.5 is the stronger model overall, scoring 55.0 to 35.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-vs-grok-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 33

## Summary

- They share 33 benchmarks with published results for both. GPT-4.1 scores higher in 0 categories and Grok 4.5 in 10 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.0 to 11.7.
- The biggest single-benchmark swing is ARC-AGI-1: 5.5% for GPT-4.1 and 87.2% for Grok 4.5.
- Grok 4.5 is cheaper at $2 / $6 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-4.1 accepts more context: 1.05M tokens versus 500K.

## Snapshot

| | GPT-4.1 | Grok 4.5 |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 35.7 | 55.0 |
| Rank | 215 | 22 |
| Context | 1.05M | 500K |
| Input $/M | $2 | $2 |
| Output $/M | $8 | $6 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1: 34.2 (#228)
- Grok 4.5: 51.7 (#34)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| WeirdML | 39% | 46.4% |
| LMArena Coding | 1391 | 1473 |
| ALE-Bench | 558.1 | 1,309 |
| SWE-bench Verified | 48.5% | — |
| DeepSWE | — | 53.8% |
| FrontierCode | — | 42.4% |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| LMArena WebDev | — | 1552 |
| SciCode | — | 54.1% |
| CadEval | 42% | — |

## Agentic & Tool Use

- GPT-4.1: 34.4 (#40)
- Grok 4.5: 44.4 (#15)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| APEX-Agents | — | 56.2% |
| Berkeley Function Calling Leaderboard | 54% | — |
| τ²-bench Banking | — | 47.9% |
| PostTrainBench | — | 23.4% |
| GBAEval | — | 65.4% |
| GDP.pdf | — | 14% |
| LMArena Search | — | 1213 |
| Vending-Bench 2 | — | 3,887 |

## Reasoning

- GPT-4.1: 11.7 (#334)
- Grok 4.5: 56.0 (#23)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| ARC-AGI-2 | 0.4% | 52.6% |
| SimpleBench | 27% | 70% |
| Kagi LLM Benchmark | 52.3% | 83.5% |
| ARC-AGI-1 | 5.5% | 87.2% |
| Chess Puzzles | 6% | 36% |
| LMArena Hard Prompts | 1384 | 1462 |
| DTBench | 68.3% | 96.5% |
| LMCA | 25.6% | 45.2% |
| Epoch Capabilities Index | 136.79 | 154.02 |
| NYT Connections (extended) | — | 79.9% |
| CritPt | — | 15.4% |
| EnigmaEval | 2.2% | — |
| Surface Evolver Bench | — | 74.4% |
| ForecastBench | 61.5 | — |

## Math

- GPT-4.1: 21.4 (#269)
- Grok 4.5: 60.7 (#29)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6% | 57.2% |
| OTIS Mock AIME 2024-2025 | 38.3% | 97.8% |
| LMArena Math | 1369 | 1457 |
| FrontierMath Tier 4 | — | 24.4% |
| ProofBench | — | 31% |
| Omni-MATH | 47.1% | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GPT-4.1: 37.0 (#152)
- Grok 4.5: 62.3 (#21)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| GPQA Diamond | 66.9% | 93.4% |
| SimpleQA Verified | 31.1% | 48.3% |
| LMArena Expert | 1364 | 1466 |
| Humanity's Last Exam | 5.4% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |

## Multimodal

- GPT-4.1: 37.5 (#66)
- Grok 4.5: 37.8 (#63)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| LMArena Vision | 1210 | 1287 |
| GeoBench | 72% | — |
| Blueprint-Bench 2 | — | 27.3% |
| Furniture Assembly | — | 22.5% |
| LMArena Document | — | 1452 |

## Multilingual

- GPT-4.1: 49.6 (#128)
- Grok 4.5: 54.5 (#43)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| LMArena Non-English | 1370 | 1439 |
| LMArena Chinese | 1382 | 1497 |
| LMArena French | 1383 | 1458 |
| LMArena German | 1380 | 1448 |
| LMArena Japanese | 1320 | 1425 |
| LMArena Korean | 1339 | 1402 |
| LMArena Russian | 1377 | 1447 |
| LMArena Spanish | 1375 | 1452 |

## Instruction Following

- GPT-4.1: 71.5 (#148)
- Grok 4.5: 76.3 (#45)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1446 |
| IFEval | 83.8% | — |

## Long Context

- GPT-4.1: 40.0 (#158)
- Grok 4.5: 44.8 (#54)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| LMArena Longer Query | 1385 | 1463 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.1: 57.8 (#120)
- Grok 4.5: 65.9 (#40)

| Benchmark | GPT-4.1 | Grok 4.5 |
|---|---|---|
| LMArena Text | 1383 | 1448 |
| LMArena Creative Writing | 1363 | 1442 |
| EQ-Bench Creative Writing | 1420 | 1579 |
| LMArena Multi-Turn | 1398 | 1457 |
| WildBench | 85.4% | — |

## FAQ

### Is GPT-4.1 better than Grok 4.5?

Grok 4.5 is the stronger model overall, scoring 55.0 to 35.7 on the Noometry Index.

### Which is cheaper, GPT-4.1 or Grok 4.5?

Grok 4.5 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-4.1 lists at $2 and $8.

### Is GPT-4.1 or Grok 4.5 better for coding?

Grok 4.5 scores higher on coding benchmarks: 51.7 versus 34.2 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 500K.

### How many benchmarks do GPT-4.1 and Grok 4.5 share?

33 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Grok 4.5 has 52.
