# Llama 2-13B vs Yi-34B

> 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-yi-34b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Llama 2-13B scores higher in 2 categories and Yi-34B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-13B leads 27.5 to 7.5.

## Snapshot

| | Llama 2-13B | Yi-34B |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 29.1 | 27.4 |
| Rank | 304 | 325 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Llama 2-13B: 30.4 (#287)
- Yi-34B: 31.8 (#269)

| Benchmark | Llama 2-13B | Yi-34B |
|---|---|---|
| LMArena Coding | 1062 | 1112 |

## Reasoning

- Llama 2-13B: 12.3 (#333)
- Yi-34B: 20.3 (#222)

| Benchmark | Llama 2-13B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1104 |
| BIG-Bench Hard | 58.2% | 71.7% |
| Epoch Capabilities Index | 105.8 | 117.28 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |

## Math

- Llama 2-13B: 28.7 (#226)
- Yi-34B: 19.8 (#277)

| Benchmark | Llama 2-13B | Yi-34B |
|---|---|---|
| LMArena Math | 1065 | 1114 |
| GSM8K | 36.9% | 76% |
| MATH Level 5 | — | 5.1% |

## Knowledge

- Llama 2-13B: 27.5 (#244)
- Yi-34B: 7.5 (#304)

| Benchmark | Llama 2-13B | Yi-34B |
|---|---|---|
| LMArena Expert | 1030 | 1061 |
| MMLU | 55.6% | 76.3% |
| GPQA Diamond | — | 14.7% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |

## Multimodal

- Llama 2-13B: —
- Yi-34B: —

| Benchmark | Llama 2-13B | Yi-34B |
|---|---|---|
| ScienceQA | 55.8% | — |

## Multilingual

- Llama 2-13B: 26.7 (#274)
- Yi-34B: 29.9 (#259)

| Benchmark | Llama 2-13B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1024 | 1079 |
| LMArena Chinese | 1001 | 1175 |
| LMArena French | 1043 | 1080 |
| LMArena German | 1009 | 1042 |
| LMArena Japanese | 894 | 993 |
| LMArena Korean | 953 | 959 |
| LMArena Russian | 1055 | 1050 |
| LMArena Spanish | 1086 | 1070 |

## Instruction Following

- Llama 2-13B: 53.5 (#282)
- Yi-34B: 56.4 (#269)

| Benchmark | Llama 2-13B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1046 | 1091 |

## Long Context

- Llama 2-13B: 32.3 (#264)
- Yi-34B: 33.2 (#259)

| Benchmark | Llama 2-13B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1064 | 1094 |

## Writing & Preference

- Llama 2-13B: 30.0 (#284)
- Yi-34B: 34.3 (#268)

| Benchmark | Llama 2-13B | Yi-34B |
|---|---|---|
| LMArena Text | 1085 | 1129 |
| LMArena Creative Writing | 1047 | 1108 |
| LMArena Multi-Turn | 1050 | 1113 |

## FAQ

### Is Llama 2-13B better than Yi-34B?

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

### Is Llama 2-13B or Yi-34B better for coding?

Yi-34B scores higher on coding benchmarks: 31.8 versus 30.4 in the Noometry coding category.

### How many benchmarks do Llama 2-13B and Yi-34B share?

21 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Yi-34B has 23.