# GPT-4.5 vs Llama 4 Scout

> GPT-4.5 is the stronger model overall, scoring 36.9 to 27.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-5-vs-llama-4-scout
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. GPT-4.5 scores higher in 10 categories and Llama 4 Scout in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-4.5 leads 41.8 to 19.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 7.8% for Llama 4 Scout.
- Llama 4 Scout has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 36.9 | 27.4 |
| Rank | 200 | 323 |
| Context | — | 128K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.30 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.5: 41.8 (#102)
- Llama 4 Scout: 19.9 (#334)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1397 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| Aider Polyglot | 44.9% | — |
| SciCode | — | 17% |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
| BigCodeBench Complete | — | 43.1% |

## Agentic & Tool Use

- GPT-4.5: 27.6 (#92)
- Llama 4 Scout: 24.4 (#109)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |
| Cybench | 17.5% | — |

## Reasoning

- GPT-4.5: 14.1 (#320)
- Llama 4 Scout: 9.2 (#339)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| ARC-AGI-2 | 0.8% | 0% |
| ARC-AGI-1 | 10.3% | 0.5% |
| LMArena Hard Prompts | 1404 | 1266 |
| Epoch Capabilities Index | 136.74 | 129.64 |
| ForecastBench | 61.7 | 57.5 |
| SimpleBench | 34.5% | — |
| Kagi LLM Benchmark | — | 36.9% |
| CritPt | — | 0% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| DTBench | — | 57.9% |
| LiveBench Data Analysis | 64.3% | — |
| LMCA | — | 12% |
| LiveBench | 69% | — |

## Math

- GPT-4.5: 31.0 (#200)
- Llama 4 Scout: 18.4 (#280)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 7.8% |
| LMArena Math | 1412 | 1286 |
| MATH Level 5 | 78.6% | 62.3% |
| Omni-MATH | — | 37.3% |
| LiveBench Math | 69.3% | — |
| FrontierMath (Feb 2025 set) | — | 0% |

## Knowledge

- GPT-4.5: 32.4 (#205)
- Llama 4 Scout: 31.8 (#208)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| GPQA Diamond | 68.7% | 51.8% |
| LMArena Expert | 1394 | 1236 |
| Humanity's Last Exam | 5.4% | — |
| MMLU-Pro | — | 74.2% |
| Confabulations | 13.6% | — |
| Vectara Hallucination Rate | — | 7.7% |
| GPQA (HELM) | — | 50.7% |

## Multimodal

- GPT-4.5: 37.0 (#68)
- Llama 4 Scout: 31.6 (#98)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| LMArena Vision | 1195 | 1118 |
| VPCT | 45% | — |
| SpatialViz-Bench | — | 34.2% |

## Multilingual

- GPT-4.5: 52.7 (#78)
- Llama 4 Scout: 41.3 (#207)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1413 | 1253 |
| LMArena Chinese | 1421 | 1256 |
| LMArena French | 1417 | 1283 |
| LMArena German | 1457 | 1274 |
| LMArena Japanese | 1416 | 1209 |
| LMArena Korean | 1392 | 1207 |
| LMArena Russian | 1419 | 1263 |
| LMArena Spanish | — | 1277 |

## Instruction Following

- GPT-4.5: 72.8 (#129)
- Llama 4 Scout: 66.0 (#212)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 1404 | 1248 |
| LiveBench Instruction Following | 72.3% | — |
| IFEval | — | 81.8% |

## Long Context

- GPT-4.5: 40.4 (#150)
- Llama 4 Scout: 27.5 (#289)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| Fiction.LiveBench | 63.9% | 36% |
| LMArena Longer Query | 1406 | 1265 |

## Writing & Preference

- GPT-4.5: 57.1 (#129)
- Llama 4 Scout: 37.1 (#256)

| Benchmark | GPT-4.5 | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1417 | 1279 |
| LMArena Creative Writing | 1394 | 1249 |
| EQ-Bench Creative Writing | 1258 | 783 |
| LMArena Multi-Turn | 1444 | 1281 |
| Short-Story Creative Writing | 75.6% | — |
| WildBench | — | 78% |
| LiveBench Language | 61.5% | — |

## FAQ

### Is GPT-4.5 better than Llama 4 Scout?

GPT-4.5 is the stronger model overall, scoring 36.9 to 27.4 on the Noometry Index.

### Is GPT-4.5 or Llama 4 Scout better for coding?

GPT-4.5 scores higher on coding benchmarks: 41.8 versus 19.9 in the Noometry coding category.

### How many benchmarks do GPT-4.5 and Llama 4 Scout share?

26 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Llama 4 Scout has 43.