# Llama 2-13B vs Llama 4 Scout

> Llama 2-13B is the stronger model overall, scoring 29.1 to 27.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-13b-vs-llama-4-scout
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Llama 2-13B scores higher in 4 categories and Llama 4 Scout in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Llama 4 Scout leads 41.3 to 26.7.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 57.9% for Llama 4 Scout.

## Snapshot

| | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.1 | 27.4 |
| Rank | 304 | 323 |
| Context | — | 128K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.30 |
| Weights | Open | Open |

## Coding

- Llama 2-13B: 30.4 (#287)
- Llama 4 Scout: 19.9 (#334)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1062 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| BigCodeBench Complete | — | 43.1% |

## Agentic & Tool Use

- Llama 2-13B: —
- Llama 4 Scout: 24.4 (#109)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |

## Reasoning

- Llama 2-13B: 12.3 (#333)
- Llama 4 Scout: 9.2 (#339)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1266 |
| DTBench | 42.2% | 57.9% |
| Epoch Capabilities Index | 105.8 | 129.64 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMCA | — | 12% |
| BIG-Bench Hard | 58.2% | — |
| ForecastBench | — | 57.5 |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |

## Math

- Llama 2-13B: 28.7 (#226)
- Llama 4 Scout: 18.4 (#280)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Math | 1065 | 1286 |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| Omni-MATH | — | 37.3% |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
| GSM8K | 36.9% | — |

## Knowledge

- Llama 2-13B: 27.5 (#244)
- Llama 4 Scout: 31.8 (#208)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Expert | 1030 | 1236 |
| GPQA Diamond | — | 51.8% |
| MMLU-Pro | — | 74.2% |
| Vectara Hallucination Rate | — | 7.7% |
| GPQA (HELM) | — | 50.7% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |

## Multimodal

- Llama 2-13B: —
- Llama 4 Scout: 31.6 (#98)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Vision | — | 1118 |
| ScienceQA | 55.8% | — |
| SpatialViz-Bench | — | 34.2% |

## Multilingual

- Llama 2-13B: 26.7 (#274)
- Llama 4 Scout: 41.3 (#207)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1024 | 1253 |
| LMArena Chinese | 1001 | 1256 |
| LMArena French | 1043 | 1283 |
| LMArena German | 1009 | 1274 |
| LMArena Japanese | 894 | 1209 |
| LMArena Korean | 953 | 1207 |
| LMArena Russian | 1055 | 1263 |
| LMArena Spanish | 1086 | 1277 |

## Instruction Following

- Llama 2-13B: 53.5 (#282)
- Llama 4 Scout: 66.0 (#212)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 1046 | 1248 |
| IFEval | — | 81.8% |

## Long Context

- Llama 2-13B: 32.3 (#264)
- Llama 4 Scout: 27.5 (#289)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1064 | 1265 |
| Fiction.LiveBench | — | 36% |

## Writing & Preference

- Llama 2-13B: 30.0 (#284)
- Llama 4 Scout: 37.1 (#256)

| Benchmark | Llama 2-13B | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1085 | 1279 |
| LMArena Creative Writing | 1047 | 1249 |
| LMArena Multi-Turn | 1050 | 1281 |
| EQ-Bench Creative Writing | — | 783 |
| WildBench | — | 78% |

## FAQ

### Is Llama 2-13B better than Llama 4 Scout?

Llama 2-13B is the stronger model overall, scoring 29.1 to 27.4 on the Noometry Index.

### Is Llama 2-13B or Llama 4 Scout better for coding?

Llama 2-13B scores higher on coding benchmarks: 30.4 versus 19.9 in the Noometry coding category.

### How many benchmarks do Llama 2-13B and Llama 4 Scout share?

19 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Llama 4 Scout has 43.