# Llama 3-70B vs Qwen3-4B

> Qwen3-4B is the stronger model overall, scoring 31.5 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-70b-vs-qwen3-4b
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Qwen3-4B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-4B leads 28.5 to 12.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 52.2% for Qwen3-4B.

## Snapshot

| | Llama 3-70B | Qwen3-4B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.5 | 31.5 |
| Rank | 317 | 261 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Llama 3-70B: 35.3 (#215)
- Qwen3-4B: —

| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |

## Agentic & Tool Use

- Llama 3-70B: 20.9 (#132)
- Qwen3-4B: 27.3 (#94)

| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
| Cybench | 5% | — |

## Reasoning

- Llama 3-70B: 17.4 (#284)
- Qwen3-4B: 18.5 (#264)

| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1195 | — |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.91 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |

## Math

- Llama 3-70B: 12.0 (#299)
- Qwen3-4B: 28.5 (#228)

| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 52.2% |
| MathArena Final-Answer Competitions | — | 38.5% |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |

## Knowledge

- Llama 3-70B: 20.8 (#272)
- Qwen3-4B: 33.0 (#198)

| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| GPQA Diamond | 40.6% | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1149 | — |
| MMLU | 79.3% | — |

## Multilingual

- Llama 3-70B: 33.8 (#246)
- Qwen3-4B: —

| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| 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)
- Qwen3-4B: —

| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1194 | — |

## Long Context

- Llama 3-70B: 35.6 (#235)
- Qwen3-4B: —

| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1174 | — |

## Writing & Preference

- Llama 3-70B: 43.0 (#225)
- Qwen3-4B: —

| Benchmark | Llama 3-70B | Qwen3-4B |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| LMArena Multi-Turn | 1223 | — |

## FAQ

### Is Llama 3-70B better than Qwen3-4B?

Qwen3-4B is the stronger model overall, scoring 31.5 to 28.5 on the Noometry Index.

### How many benchmarks do Llama 3-70B and Qwen3-4B share?

2 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3-4B has 6.