# Llama 3.1-405B vs Yi-Large

> Llama 3.1-405B has enough public results to be ranked (#288); Yi-Large does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/llama-3-1-405b-vs-yi-large
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Llama 3.1-405B scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Yi-Large leads 36.7 to 33.1.
- Llama 3.1-405B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.1-405B | Yi-Large |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 30.7 | 38.1 |
| Rank | 288 | — |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- Llama 3.1-405B: 33.1 (#262)
- Yi-Large: 36.7 (#203)

| Benchmark | Llama 3.1-405B | Yi-Large |
|---|---|---|
| WeirdML | 21.4% | — |
| BigCodeBench Instruct | — | 37.7% |
| LMArena Coding | 1291 | — |
| BigCodeBench Complete | — | 47.2% |

## Agentic & Tool Use

- Llama 3.1-405B: 21.0 (#140)
- Yi-Large: —

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

## Reasoning

- Llama 3.1-405B: 16.8 (#300)
- Yi-Large: —

| Benchmark | Llama 3.1-405B | Yi-Large |
|---|---|---|
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| LMArena Hard Prompts | 1269 | — |
| DTBench | 61.4% | — |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.75 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |

## Math

- Llama 3.1-405B: 18.4 (#290)
- Yi-Large: —

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

## Knowledge

- Llama 3.1-405B: 30.4 (#227)
- Yi-Large: —

| Benchmark | Llama 3.1-405B | Yi-Large |
|---|---|---|
| MMLU | 84.5% | 79.3% |
| GPQA Diamond | 50.9% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| GPQA (HELM) | 52.2% | — |
| LMArena Expert | 1243 | — |
| ARC (AI2) Challenge | 95.3% | — |
| TriviaQA | 82.7% | — |

## Multilingual

- Llama 3.1-405B: 40.7 (#214)
- Yi-Large: —

| Benchmark | Llama 3.1-405B | Yi-Large |
|---|---|---|
| LMArena Non-English | 1248 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1279 | — |
| LMArena German | 1252 | — |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1184 | — |
| LMArena Russian | 1265 | — |
| LMArena Spanish | 1260 | — |

## Instruction Following

- Llama 3.1-405B: 65.9 (#214)
- Yi-Large: —

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

## Long Context

- Llama 3.1-405B: 38.4 (#197)
- Yi-Large: —

| Benchmark | Llama 3.1-405B | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1266 | — |

## Writing & Preference

- Llama 3.1-405B: 38.9 (#251)
- Yi-Large: —

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

## FAQ

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

Llama 3.1-405B has enough public results to be ranked (#288); Yi-Large does not yet, so treat this comparison as directional.

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

Yi-Large scores higher on coding benchmarks: 36.7 versus 33.1 in the Noometry coding category.

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

1 benchmark has published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Yi-Large has 3.