# Hy3 vs Llama 2-7B

> Hy3 is the stronger model overall, scoring 44.2 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/hy3-vs-llama-2-7b
- Last updated: 2026-10-11
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Hy3 scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Hy3 leads 62.2 to 28.0.

## Snapshot

| | Hy3 | Llama 2-7B |
|---|---|---|
| Provider | Tencent | Meta |
| Noometry Index | 44.2 | 29.1 |
| Rank | 79 | 317 |
| Context | 262K | — |
| Input $/M | $0.13 | — |
| Output $/M | $0.53 | — |
| Weights | Open | Open |

## Coding

- Hy3: 46.8 (#63)
- Llama 2-7B: 29.2 (#307)

| Benchmark | Hy3 | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1464 | 1002 |
| LMArena WebDev | 1508 | — |

## Reasoning

- Hy3: 26.1 (#136)
- Llama 2-7B: 15.7 (#312)

| Benchmark | Hy3 | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1447 | 1009 |
| NYT Connections (extended) | 41.2% | — |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 99.06 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- Hy3: 40.1 (#93)
- Llama 2-7B: 30.7 (#233)

| Benchmark | Hy3 | Llama 2-7B |
|---|---|---|
| LMArena Math | 1475 | 1042 |
| GSM8K | — | 16.7% |

## Knowledge

- Hy3: 40.8 (#114)
- Llama 2-7B: 28.2 (#248)

| Benchmark | Hy3 | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1460 | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- Hy3: —
- Llama 2-7B: —

| Benchmark | Hy3 | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |

## Multilingual

- Hy3: 53.5 (#65)
- Llama 2-7B: 23.8 (#293)

| Benchmark | Hy3 | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1426 | 973 |
| LMArena Chinese | 1493 | 973 |
| LMArena French | 1461 | 970 |
| LMArena German | 1439 | 978 |
| LMArena Russian | 1432 | 995 |
| LMArena Spanish | 1456 | 1007 |
| LMArena Japanese | 1392 | — |
| LMArena Korean | 1395 | — |

## Instruction Following

- Hy3: 75.1 (#70)
- Llama 2-7B: 50.8 (#298)

| Benchmark | Hy3 | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1426 | 1006 |

## Long Context

- Hy3: 44.1 (#75)
- Llama 2-7B: 30.4 (#287)

| Benchmark | Hy3 | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1442 | 999 |

## Writing & Preference

- Hy3: 62.2 (#81)
- Llama 2-7B: 28.0 (#298)

| Benchmark | Hy3 | Llama 2-7B |
|---|---|---|
| LMArena Text | 1439 | 1053 |
| LMArena Creative Writing | 1402 | 1033 |
| LMArena Multi-Turn | 1436 | 1029 |

## FAQ

### Is Hy3 better than Llama 2-7B?

Hy3 is the stronger model overall, scoring 44.2 to 29.1 on the Noometry Index.

### Is Hy3 or Llama 2-7B better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 29.2 in the Noometry coding category.

### How many benchmarks do Hy3 and Llama 2-7B share?

15 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Llama 2-7B has 29.