# Llama 3.1-405B vs Mercury

> Mercury is the stronger model overall, scoring 37.3 to 30.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-405b-vs-mercury
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Llama 3.1-405B scores higher in 2 categories and Mercury in 4 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury leads 46.2 to 39.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 45% for Llama 3.1-405B and 21.6% for Mercury.
- Llama 3.1-405B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.1-405B | Mercury |
|---|---|---|
| Provider | Meta | Inception |
| Noometry Index | 30.4 | 37.3 |
| Rank | 279 | 192 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- Llama 3.1-405B: 32.7 (#257)
- Mercury: 38.1 (#164)

| Benchmark | Llama 3.1-405B | Mercury |
|---|---|---|
| LMArena Coding | 1291 | 1323 |
| WeirdML | 21.4% | — |

## Agentic & Tool Use

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

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

## Reasoning

- Llama 3.1-405B: 16.4 (#293)
- Mercury: 16.8 (#288)

| Benchmark | Llama 3.1-405B | Mercury |
|---|---|---|
| Kagi LLM Benchmark | 45% | 21.6% |
| LMArena Hard Prompts | 1270 | 1284 |
| SimpleBench | 23% | — |
| DTBench | 61.4% | — |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.76 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |

## Math

- Llama 3.1-405B: 17.3 (#283)
- Mercury: —

| Benchmark | Llama 3.1-405B | Mercury |
|---|---|---|
| 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 (#221)
- Mercury: —

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

## Multilingual

- Llama 3.1-405B: 40.9 (#209)
- Mercury: 41.7 (#201)

| Benchmark | Llama 3.1-405B | Mercury |
|---|---|---|
| LMArena Non-English | 1248 | 1259 |
| LMArena Chinese | 1242 | — |
| LMArena French | 1278 | — |
| LMArena German | 1252 | — |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1184 | — |
| LMArena Russian | 1265 | — |
| LMArena Spanish | 1259 | — |

## Instruction Following

- Llama 3.1-405B: 66.1 (#209)
- Mercury: 65.3 (#220)

| Benchmark | Llama 3.1-405B | Mercury |
|---|---|---|
| LMArena Instruction Following | 1259 | 1238 |
| IFEval | 81.1% | — |

## Long Context

- Llama 3.1-405B: 38.4 (#192)
- Mercury: 38.3 (#193)

| Benchmark | Llama 3.1-405B | Mercury |
|---|---|---|
| LMArena Longer Query | 1266 | 1264 |

## Writing & Preference

- Llama 3.1-405B: 39.1 (#246)
- Mercury: 46.2 (#216)

| Benchmark | Llama 3.1-405B | Mercury |
|---|---|---|
| LMArena Text | 1284 | 1282 |
| LMArena Creative Writing | 1262 | 1186 |
| LMArena Multi-Turn | 1297 | 1283 |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |

## FAQ

### Is Llama 3.1-405B better than Mercury?

Mercury is the stronger model overall, scoring 37.3 to 30.4 on the Noometry Index.

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

Mercury scores higher on coding benchmarks: 38.1 versus 32.7 in the Noometry coding category.

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

9 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Mercury has 9.