# GPT-5.5 vs Grok 4

> GPT-5.5 is the stronger model overall, scoring 63.4 to 48.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-5-vs-grok-4
- Last updated: 2026-10-11
- Shared benchmarks: 33

## Summary

- They share 33 benchmarks with published results for both. GPT-5.5 scores higher in 8 categories and Grok 4 in 2 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 leads 72.8 to 36.7.
- The biggest single-benchmark swing is ARC-AGI-2: 85% for GPT-5.5 and 16% for Grok 4.

## Snapshot

| | GPT-5.5 | Grok 4 |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 63.4 | 48.1 |
| Rank | 9 | 56 |
| Context | 1.05M | — |
| Input $/M | $5 | — |
| Output $/M | $30 | — |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5.5: 58.2 (#17)
- Grok 4: 50.3 (#46)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| WeirdML | 84.9% | 45.7% |
| LMArena Coding | 1494 | 1408 |
| SWE-bench Verified | 80.6% | — |
| DeepSWE | 67% | — |
| FrontierCode | 43% | — |
| Aider Polyglot | — | 79.6% |
| LMArena WebDev | 1513 | — |
| SciCode | 56.1% | — |
| GSO | 40.2% | — |
| MirrorCode | 10% | — |
| ALE-Bench | 1,943 | — |

## Agentic & Tool Use

- GPT-5.5: 50.7 (#6)
- Grok 4: 32.3 (#68)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| Terminal-Bench | 84.7% | 27.2% |
| DeepResearch Bench | 54% | 47.3% |
| LMArena Search | 1242 | 1142 |
| APEX-Agents | 55.1% | — |
| Berkeley Function Calling Leaderboard | — | 63% |
| OSWorld 2.0 | 13% | — |
| GDPval | — | 21.1% |
| Remote Labor Index | 6.3% | — |
| τ²-bench Banking | 44.6% | — |
| Cybench | — | 43% |
| PostTrainBench | 27.2% | — |
| BALROG | — | 43.6% |
| ExploitBench | 47.4% | — |
| GBAEval | 53.2% | — |
| GDP.pdf | 26% | — |
| METR Time Horizons | — | 66.6% |
| Vending-Bench 2 | 7,524 | — |

## Reasoning

- GPT-5.5: 72.8 (#11)
- Grok 4: 36.7 (#65)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| ARC-AGI-2 | 85% | 16% |
| SimpleBench | 69% | 60.5% |
| Kagi LLM Benchmark | 88.8% | 73.6% |
| ARC-AGI-1 | 95% | 66.7% |
| Chess Puzzles | 54% | 28% |
| LMArena Hard Prompts | 1489 | 1409 |
| Epoch Capabilities Index | 159.1 | 146.44 |
| ForecastBench | 60.6 | 60.9 |
| NYT Connections (extended) | 96.2% | — |
| CritPt | 27.1% | — |
| EBR-Bench | 34.3% | — |
| Mystery Game Puzzles | 56% | — |
| DTBench | 96% | — |
| LMCA | 54.3% | — |
| Surface Evolver Bench | 88.1% | — |
| Bench to the Future 3 | 0.14 | — |

## Math

- GPT-5.5: 81.7 (#11)
- Grok 4: 48.4 (#64)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 84% |
| LMArena Math | 1486 | 1422 |
| FrontierMath (Feb 2025 set) | 51.7% | 19.7% |
| FrontierMath Tier 4 (v1) | 35.4% | 2.1% |
| FrontierMath (Tiers 1-3) | 85.3% | — |
| FrontierMath Tier 4 | 72.5% | — |
| MathArena Final-Answer Competitions | 94.3% | — |
| ProofBench | 50% | — |
| Omni-MATH | — | 60.3% |
| FrontierMath Erdős | 0% | — |

## Knowledge

- GPT-5.5: 64.4 (#17)
- Grok 4: 53.8 (#55)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| GPQA Diamond | 94% | 87% |
| LMArena Expert | 1508 | 1415 |
| SimpleQA Verified | 63% | — |
| MMLU-Pro | — | 85.1% |
| Confabulations | — | 12.4% |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | — | 72.7% |

## Multimodal

- GPT-5.5: 46.9 (#12)
- Grok 4: 33.7 (#94)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| LMArena Vision | 1297 | 1210 |
| GeoBench | — | 45% |
| Blueprint-Bench 2 | 36.2% | — |
| Furniture Assembly | 44.2% | — |
| LMArena Document | 1486 | — |

## Multilingual

- GPT-5.5: 56.4 (#20)
- Grok 4: 51.8 (#103)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| LMArena Non-English | 1467 | 1403 |
| LMArena Chinese | 1533 | 1427 |
| LMArena French | 1486 | 1418 |
| LMArena German | 1480 | 1429 |
| LMArena Japanese | 1498 | 1394 |
| LMArena Korean | 1460 | 1377 |
| LMArena Russian | 1473 | 1410 |
| LMArena Spanish | 1468 | 1420 |

## Instruction Following

- GPT-5.5: 77.5 (#18)
- Grok 4: 79.2 (#5)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| LMArena Instruction Following | 1479 | 1387 |
| IFEval | — | 94.9% |

## Long Context

- GPT-5.5: 48.3 (#12)
- Grok 4: 63.1 (#4)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| LMArena Longer Query | 1484 | 1409 |
| Fiction.LiveBench | — | 94.4% |
| CL-bench Life | 22.2% | — |

## Writing & Preference

- GPT-5.5: 72.7 (#13)
- Grok 4: 58.5 (#116)

| Benchmark | GPT-5.5 | Grok 4 |
|---|---|---|
| LMArena Text | 1472 | 1411 |
| LMArena Creative Writing | 1455 | 1397 |
| LMArena Multi-Turn | 1476 | 1416 |
| Short-Story Creative Writing | — | 76.9% |
| EQ-Bench Creative Writing | 1844 | — |
| WildBench | — | 79.7% |
| EQ-Bench 4 | 1315 | — |

## FAQ

### Is GPT-5.5 better than Grok 4?

GPT-5.5 is the stronger model overall, scoring 63.4 to 48.1 on the Noometry Index.

### Is GPT-5.5 or Grok 4 better for coding?

GPT-5.5 scores higher on coding benchmarks: 58.2 versus 50.3 in the Noometry coding category.

### How many benchmarks do GPT-5.5 and Grok 4 share?

33 benchmarks have published results for both models. GPT-5.5 has 71 scored results on Noometry and Grok 4 has 48.