# Llama 3.1-405B vs Yi-34B

> Llama 3.1-405B is the stronger model overall, scoring 30.4 to 27.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-405b-vs-yi-34b
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Llama 3.1-405B scores higher in 6 categories and Yi-34B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.1-405B leads 30.4 to 7.5.
- The biggest single-benchmark swing is MATH Level 5: 49.8% for Llama 3.1-405B and 5.1% for Yi-34B.

## Snapshot

| | Llama 3.1-405B | Yi-34B |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 30.4 | 27.4 |
| Rank | 279 | 325 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Llama 3.1-405B: 32.7 (#257)
- Yi-34B: 31.8 (#269)

| Benchmark | Llama 3.1-405B | Yi-34B |
|---|---|---|
| LMArena Coding | 1291 | 1112 |
| WeirdML | 21.4% | — |

## Agentic & Tool Use

- Llama 3.1-405B: 20.9 (#131)
- Yi-34B: —

| Benchmark | Llama 3.1-405B | Yi-34B |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |

## Reasoning

- Llama 3.1-405B: 16.4 (#293)
- Yi-34B: 20.3 (#222)

| Benchmark | Llama 3.1-405B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1270 | 1104 |
| BIG-Bench Hard | 82.9% | 71.7% |
| Epoch Capabilities Index | 128.76 | 117.28 |
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| DTBench | 61.4% | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |

## Math

- Llama 3.1-405B: 17.3 (#283)
- Yi-34B: 19.8 (#277)

| Benchmark | Llama 3.1-405B | Yi-34B |
|---|---|---|
| LMArena Math | 1281 | 1114 |
| MATH Level 5 | 49.8% | 5.1% |
| OTIS Mock AIME 2024-2025 | 9.7% | — |
| Omni-MATH | 24.9% | — |
| GSM8K | — | 76% |

## Knowledge

- Llama 3.1-405B: 30.4 (#221)
- Yi-34B: 7.5 (#304)

| Benchmark | Llama 3.1-405B | Yi-34B |
|---|---|---|
| GPQA Diamond | 50.9% | 14.7% |
| LMArena Expert | 1243 | 1061 |
| MMLU | 84.5% | 76.3% |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| GPQA (HELM) | 52.2% | — |
| ARC (AI2) Challenge | 95.3% | — |
| TriviaQA | 82.7% | — |

## Multilingual

- Llama 3.1-405B: 40.9 (#209)
- Yi-34B: 29.9 (#259)

| Benchmark | Llama 3.1-405B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1248 | 1079 |
| LMArena Chinese | 1242 | 1175 |
| LMArena French | 1278 | 1080 |
| LMArena German | 1252 | 1042 |
| LMArena Japanese | 1208 | 993 |
| LMArena Korean | 1184 | 959 |
| LMArena Russian | 1265 | 1050 |
| LMArena Spanish | 1259 | 1070 |

## Instruction Following

- Llama 3.1-405B: 66.1 (#209)
- Yi-34B: 56.4 (#269)

| Benchmark | Llama 3.1-405B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1259 | 1091 |
| IFEval | 81.1% | — |

## Long Context

- Llama 3.1-405B: 38.4 (#192)
- Yi-34B: 33.2 (#259)

| Benchmark | Llama 3.1-405B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1266 | 1094 |

## Writing & Preference

- Llama 3.1-405B: 39.1 (#246)
- Yi-34B: 34.3 (#268)

| Benchmark | Llama 3.1-405B | Yi-34B |
|---|---|---|
| LMArena Text | 1284 | 1129 |
| LMArena Creative Writing | 1262 | 1108 |
| LMArena Multi-Turn | 1297 | 1113 |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |

## FAQ

### Is Llama 3.1-405B better than Yi-34B?

Llama 3.1-405B is the stronger model overall, scoring 30.4 to 27.4 on the Noometry Index.

### Is Llama 3.1-405B or Yi-34B better for coding?

They score almost the same on coding (32.7 vs 31.8); test both on your own repository before choosing.

### How many benchmarks do Llama 3.1-405B and Yi-34B share?

22 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Yi-34B has 23.