# Llama 3-70B vs Qwen3 8B

> Qwen3 8B is the stronger model overall, scoring 33.3 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-70b-vs-qwen3-8b
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Llama 3-70B scores higher in 2 categories and Qwen3 8B in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 8B leads 33.3 to 12.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 56.1% for Qwen3 8B.

## Snapshot

| | Llama 3-70B | Qwen3 8B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.5 | 33.3 |
| Rank | 317 | 237 |
| Context | — | 131K |
| Input $/M | — | $0.18 |
| Output $/M | — | $0.70 |
| Weights | Open | Open |

## Coding

- Llama 3-70B: 35.3 (#215)
- Qwen3 8B: 33.4 (#245)

| Benchmark | Llama 3-70B | Qwen3 8B |
|---|---|---|
| SciCode | — | 22.6% |
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |

## Agentic & Tool Use

- Llama 3-70B: 20.9 (#132)
- Qwen3 8B: 29.9 (#71)

| Benchmark | Llama 3-70B | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
| Cybench | 5% | — |

## Reasoning

- Llama 3-70B: 17.4 (#284)
- Qwen3 8B: 16.1 (#299)

| Benchmark | Llama 3-70B | Qwen3 8B |
|---|---|---|
| DTBench | 54.2% | 59.7% |
| Epoch Capabilities Index | 122.91 | 136.17 |
| Kagi LLM Benchmark | 35.1% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |
| LMArena Hard Prompts | 1195 | — |
| LMCA | — | 8.8% |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |

## Math

- Llama 3-70B: 12.0 (#299)
- Qwen3 8B: 33.3 (#176)

| Benchmark | Llama 3-70B | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 56.1% |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |

## Knowledge

- Llama 3-70B: 20.8 (#272)
- Qwen3 8B: 36.1 (#164)

| Benchmark | Llama 3-70B | Qwen3 8B |
|---|---|---|
| GPQA Diamond | 40.6% | 56.8% |
| Vectara Hallucination Rate | — | 4.8% |
| LMArena Expert | 1149 | — |
| MMLU | 79.3% | — |

## Multilingual

- Llama 3-70B: 33.8 (#246)
- Qwen3 8B: —

| Benchmark | Llama 3-70B | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1142 | — |
| LMArena Chinese | 1114 | — |
| LMArena French | 1231 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Russian | 1159 | — |
| LMArena Spanish | 1241 | — |

## Instruction Following

- Llama 3-70B: 62.8 (#233)
- Qwen3 8B: —

| Benchmark | Llama 3-70B | Qwen3 8B |
|---|---|---|
| LMArena Instruction Following | 1194 | — |

## Long Context

- Llama 3-70B: 35.6 (#235)
- Qwen3 8B: 37.8 (#205)

| Benchmark | Llama 3-70B | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| LMArena Longer Query | 1174 | — |

## Writing & Preference

- Llama 3-70B: 43.0 (#225)
- Qwen3 8B: —

| Benchmark | Llama 3-70B | Qwen3 8B |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| LMArena Multi-Turn | 1223 | — |

## FAQ

### Is Llama 3-70B better than Qwen3 8B?

Qwen3 8B is the stronger model overall, scoring 33.3 to 28.5 on the Noometry Index.

### Is Llama 3-70B or Qwen3 8B better for coding?

Llama 3-70B scores higher on coding benchmarks: 35.3 versus 33.4 in the Noometry coding category.

### How many benchmarks do Llama 3-70B and Qwen3 8B share?

4 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3 8B has 11.