# Llama 13b vs Llama 3.1-8B

> Llama 13b is the stronger model overall, scoring 24.4 to 23.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-13b-vs-llama-3-1-8b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Llama 13b scores higher in 2 categories and Llama 3.1-8B in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama 3.1-8B leads 58.9 to 36.7.

## Snapshot

| | Llama 13b | Llama 3.1-8B |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 24.4 | 23.0 |
| Rank | 348 | 352 |
| Context | — | 128K |
| Input $/M | — | $0.05 |
| Output $/M | — | $0.08 |
| Weights | Open | Open |

## Coding

- Llama 13b: 21.4 (#337)
- Llama 3.1-8B: 20.2 (#340)

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| LMArena Coding | 683 | 1195 |
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| BigCodeBench Complete | — | 40.5% |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |

## Agentic & Tool Use

- Llama 13b: —
- Llama 3.1-8B: 22.5 (#131)

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |

## Reasoning

- Llama 13b: 14.0 (#329)
- Llama 3.1-8B: 14.9 (#321)

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 728 | 1175 |
| Epoch Capabilities Index | 100.58 | 116.57 |
| PIQA | 80.1% | 81.2% |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| DTBench | — | 50.9% |
| LMCA | — | 5.4% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| WinoGrande | 73% | — |

## Math

- Llama 13b: 26.7 (#256)
- Llama 3.1-8B: 10.2 (#317)

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| LMArena Math | 838 | 1179 |
| GSM8K | 20.6% | 82.4% |
| OTIS Mock AIME 2024-2025 | — | 1.7% |
| Omni-MATH | — | 13.7% |
| MATH Level 5 | — | 22.9% |

## Knowledge

- Llama 13b: —
- Llama 3.1-8B: 8.0 (#307)

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| BoolQ | 78.7% | 82.8% |
| MMLU | 47.7% | 56.1% |
| GPQA Diamond | — | 27% |
| MMLU-Pro | — | 40.6% |
| GPQA (HELM) | — | 24.7% |
| LMArena Expert | — | 1144 |
| ARC (AI2) Challenge | 52.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |

## Multimodal

- Llama 13b: —
- Llama 3.1-8B: —

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| ScienceQA | 43.3% | — |

## Multilingual

- Llama 13b: 16.6 (#297)
- Llama 3.1-8B: 34.0 (#249)

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 819 | 1148 |
| LMArena Chinese | — | 1151 |
| LMArena French | — | 1177 |
| LMArena German | — | 1144 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1053 |
| LMArena Russian | — | 1158 |
| LMArena Spanish | — | 1169 |

## Instruction Following

- Llama 13b: 36.7 (#305)
- Llama 3.1-8B: 58.9 (#258)

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| LMArena Instruction Following | 781 | 1159 |
| IFEval | — | 74.3% |

## Long Context

- Llama 13b: —
- Llama 3.1-8B: 35.8 (#238)

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | — | 1182 |

## Writing & Preference

- Llama 13b: 13.8 (#312)
- Llama 3.1-8B: 29.7 (#290)

| Benchmark | Llama 13b | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 834 | 1187 |
| LMArena Creative Writing | 794 | 1154 |
| LMArena Multi-Turn | 753 | 1172 |
| EQ-Bench Creative Writing | — | 713 |
| WildBench | — | 68.7% |

## FAQ

### Is Llama 13b better than Llama 3.1-8B?

Llama 13b is the stronger model overall, scoring 24.4 to 23.0 on the Noometry Index.

### Is Llama 13b or Llama 3.1-8B better for coding?

Llama 13b scores higher on coding benchmarks: 21.4 versus 20.2 in the Noometry coding category.

### How many benchmarks do Llama 13b and Llama 3.1-8B share?

13 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Llama 3.1-8B has 43.