# Hy3 vs Llama 3.1-8B

> Hy3 is the stronger model overall, scoring 43.6 to 22.8 on the Noometry Index. Llama 3.1-8B costs 4.0× less per token, which makes it the better buy when Hy3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/hy3-vs-llama-3-1-8b
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Hy3 scores higher in 8 categories and Llama 3.1-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Hy3 leads 62.5 to 29.9.
- Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.13 / $0.53 for Hy3.
- Hy3 accepts more context: 262K tokens versus 128K.

## Snapshot

| | Hy3 | Llama 3.1-8B |
|---|---|---|
| Provider | Tencent | Meta |
| Noometry Index | 43.6 | 22.8 |
| Rank | 79 | 347 |
| Context | 262K | 128K |
| Input $/M | $0.13 | $0.05 |
| Output $/M | $0.53 | $0.08 |
| Weights | Open | Open |

## Coding

- Hy3: 46.6 (#60)
- Llama 3.1-8B: 19.9 (#335)

| Benchmark | Hy3 | Llama 3.1-8B |
|---|---|---|
| LMArena Coding | 1465 | 1195 |
| LMArena WebDev | 1509 | — |
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| BigCodeBench Complete | — | 40.5% |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |

## Agentic & Tool Use

- Hy3: —
- Llama 3.1-8B: 22.3 (#123)

| Benchmark | Hy3 | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |

## Reasoning

- Hy3: 25.0 (#134)
- Llama 3.1-8B: 14.5 (#316)

| Benchmark | Hy3 | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1449 | 1175 |
| NYT Connections (extended) | 41.2% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| DTBench | — | 50.9% |
| LMCA | — | 5.4% |
| Epoch Capabilities Index | — | 116.48 |
| PIQA | — | 81.2% |

## Math

- Hy3: 37.4 (#98)
- Llama 3.1-8B: 9.5 (#311)

| Benchmark | Hy3 | Llama 3.1-8B |
|---|---|---|
| LMArena Math | 1475 | 1179 |
| OTIS Mock AIME 2024-2025 | — | 1.7% |
| Omni-MATH | — | 13.7% |
| MATH Level 5 | — | 22.9% |
| GSM8K | — | 82.4% |

## Knowledge

- Hy3: 40.2 (#108)
- Llama 3.1-8B: 8.0 (#302)

| Benchmark | Hy3 | Llama 3.1-8B |
|---|---|---|
| LMArena Expert | 1461 | 1144 |
| GPQA Diamond | — | 27% |
| MMLU-Pro | — | 40.6% |
| GPQA (HELM) | — | 24.7% |
| BoolQ | — | 82.8% |
| MMLU | — | 56.1% |

## Multilingual

- Hy3: 53.7 (#60)
- Llama 3.1-8B: 34.2 (#244)

| Benchmark | Hy3 | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1427 | 1148 |
| LMArena Chinese | 1496 | 1151 |
| LMArena French | 1461 | 1176 |
| LMArena Korean | 1390 | 1053 |
| LMArena Russian | 1435 | 1158 |
| LMArena Spanish | 1448 | 1169 |
| LMArena German | — | 1144 |
| LMArena Japanese | — | 1061 |

## Instruction Following

- Hy3: 75.3 (#68)
- Llama 3.1-8B: 59.1 (#253)

| Benchmark | Hy3 | Llama 3.1-8B |
|---|---|---|
| LMArena Instruction Following | 1425 | 1159 |
| IFEval | — | 74.3% |

## Long Context

- Hy3: 44.1 (#70)
- Llama 3.1-8B: 35.8 (#233)

| Benchmark | Hy3 | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1443 | 1182 |

## Writing & Preference

- Hy3: 62.5 (#75)
- Llama 3.1-8B: 29.9 (#285)

| Benchmark | Hy3 | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1442 | 1187 |
| LMArena Creative Writing | 1399 | 1154 |
| LMArena Multi-Turn | 1436 | 1172 |
| EQ-Bench Creative Writing | — | 713 |
| WildBench | — | 68.7% |

## FAQ

### Is Hy3 better than Llama 3.1-8B?

Hy3 is the stronger model overall, scoring 43.6 to 22.8 on the Noometry Index. Llama 3.1-8B costs 4.0× less per token, which makes it the better buy when Hy3's lead doesn't matter for your workload.

### Which is cheaper, Hy3 or Llama 3.1-8B?

Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Hy3 lists at $0.13 and $0.53.

### Is Hy3 or Llama 3.1-8B better for coding?

Hy3 scores higher on coding benchmarks: 46.6 versus 19.9 in the Noometry coding category.

### Which has the bigger context window?

Hy3 does, with 262K tokens against 128K.

### How many benchmarks do Hy3 and Llama 3.1-8B share?

15 benchmarks have published results for both models. Hy3 has 17 scored results on Noometry and Llama 3.1-8B has 43.