# Llama 13b vs Mercury 2

> Mercury 2 is the stronger model overall, scoring 39.1 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-13b-vs-mercury-2
- Last updated: 2026-10-11
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Mercury 2 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury 2 leads 53.8 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 13b | Mercury 2 |
|---|---|---|
| Provider | Meta | Inception |
| Noometry Index | 24.4 | 39.1 |
| Rank | 348 | 175 |
| Context | — | 128K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.75 |
| Weights | Open | Proprietary |

## Coding

- Llama 13b: 21.4 (#337)
- Mercury 2: 33.5 (#255)

| Benchmark | Llama 13b | Mercury 2 |
|---|---|---|
| LMArena Coding | 683 | 1391 |
| LMArena WebDev | — | 1171 |
| SciCode | — | 38.7% |
| WeirdML | — | 43.2% |
| ALE-Bench | — | 785.58 |

## Reasoning

- Llama 13b: 14.0 (#329)
- Mercury 2: 23.8 (#170)

| Benchmark | Llama 13b | Mercury 2 |
|---|---|---|
| LMArena Hard Prompts | 728 | 1362 |
| CritPt | — | 0.8% |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.58 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |

## Math

- Llama 13b: 26.7 (#256)
- Mercury 2: —

| Benchmark | Llama 13b | Mercury 2 |
|---|---|---|
| LMArena Math | 838 | — |
| GSM8K | 20.6% | — |

## Knowledge

- Llama 13b: —
- Mercury 2: 36.2 (#172)

| Benchmark | Llama 13b | Mercury 2 |
|---|---|---|
| Vectara Hallucination Rate | — | 12.3% |
| LMArena Expert | — | 1358 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |

## Multimodal

- Llama 13b: —
- Mercury 2: —

| Benchmark | Llama 13b | Mercury 2 |
|---|---|---|
| ScienceQA | 43.3% | — |

## Multilingual

- Llama 13b: 16.6 (#297)
- Mercury 2: 46.6 (#157)

| Benchmark | Llama 13b | Mercury 2 |
|---|---|---|
| LMArena Non-English | 819 | 1331 |
| LMArena Chinese | — | 1417 |
| LMArena Russian | — | 1304 |

## Instruction Following

- Llama 13b: 36.7 (#305)
- Mercury 2: 70.2 (#165)

| Benchmark | Llama 13b | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 781 | 1329 |

## Long Context

- Llama 13b: —
- Mercury 2: 40.5 (#154)

| Benchmark | Llama 13b | Mercury 2 |
|---|---|---|
| LMArena Longer Query | — | 1330 |

## Writing & Preference

- Llama 13b: 13.8 (#312)
- Mercury 2: 53.8 (#155)

| Benchmark | Llama 13b | Mercury 2 |
|---|---|---|
| LMArena Text | 834 | 1355 |
| LMArena Creative Writing | 794 | 1289 |
| LMArena Multi-Turn | 753 | 1358 |

## FAQ

### Is Llama 13b better than Mercury 2?

Mercury 2 is the stronger model overall, scoring 39.1 to 24.4 on the Noometry Index.

### Is Llama 13b or Mercury 2 better for coding?

Mercury 2 scores higher on coding benchmarks: 33.5 versus 21.4 in the Noometry coding category.

### How many benchmarks do Llama 13b and Mercury 2 share?

7 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Mercury 2 has 17.