# Llama 13b vs Yi-1.5-34B

> Yi-1.5-34B is the stronger model overall, scoring 30.2 to 23.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-13b-vs-yi-1-5-34b
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Yi-1.5-34B in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Yi-1.5-34B leads 37.6 to 13.9.

## Snapshot

| | Llama 13b | Yi-1.5-34B |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 23.9 | 30.2 |
| Rank | 344 | 286 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Llama 13b: 20.9 (#332)
- Yi-1.5-34B: 31.9 (#267)

| Benchmark | Llama 13b | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 683 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |

## Reasoning

- Llama 13b: 13.4 (#327)
- Yi-1.5-34B: 21.5 (#195)

| Benchmark | Llama 13b | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 728 | 1160 |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.09 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |

## Math

- Llama 13b: 24.4 (#259)
- Yi-1.5-34B: 25.3 (#248)

| Benchmark | Llama 13b | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 838 | 1182 |
| MATH Level 5 | — | 25.5% |
| GSM8K | 20.6% | — |

## Knowledge

- Llama 13b: —
- Yi-1.5-34B: 14.8 (#290)

| Benchmark | Llama 13b | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | — | 32% |
| LMArena Expert | — | 1144 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |

## Multimodal

- Llama 13b: —
- Yi-1.5-34B: —

| Benchmark | Llama 13b | Yi-1.5-34B |
|---|---|---|
| ScienceQA | 43.3% | — |

## Multilingual

- Llama 13b: 16.8 (#292)
- Yi-1.5-34B: 32.5 (#251)

| Benchmark | Llama 13b | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 819 | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1155 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1120 |

## Instruction Following

- Llama 13b: 36.9 (#300)
- Yi-1.5-34B: 59.4 (#252)

| Benchmark | Llama 13b | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 781 | 1139 |

## Long Context

- Llama 13b: —
- Yi-1.5-34B: 34.6 (#243)

| Benchmark | Llama 13b | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1144 |

## Writing & Preference

- Llama 13b: 13.9 (#307)
- Yi-1.5-34B: 37.6 (#252)

| Benchmark | Llama 13b | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 834 | 1173 |
| LMArena Creative Writing | 794 | 1135 |
| LMArena Multi-Turn | 753 | 1153 |

## FAQ

### Is Llama 13b better than Yi-1.5-34B?

Yi-1.5-34B is the stronger model overall, scoring 30.2 to 23.9 on the Noometry Index.

### Is Llama 13b or Yi-1.5-34B better for coding?

Yi-1.5-34B scores higher on coding benchmarks: 31.9 versus 20.9 in the Noometry coding category.

### How many benchmarks do Llama 13b and Yi-1.5-34B share?

8 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Yi-1.5-34B has 21.