# Llama 3-70B vs Qwen3 14B

> Qwen3 14B is the stronger model overall, scoring 35.5 to 28.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-70b-vs-qwen3-14b
- Last updated: 2026-10-12
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Qwen3 14B in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3 14B leads 38.6 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 66.4% for Qwen3 14B.

## Snapshot

| | Llama 3-70B | Qwen3 14B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.8 | 35.5 |
| Rank | 323 | 225 |
| Context | — | 131K |
| Input $/M | — | $0.35 |
| Output $/M | — | $1.40 |
| Weights | Open | Open |

## Coding

- Llama 3-70B: 35.8 (#218)
- Qwen3 14B: 37.3 (#195)

| Benchmark | Llama 3-70B | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |

## Agentic & Tool Use

- Llama 3-70B: 21.1 (#139)
- Qwen3 14B: 29.6 (#83)

| Benchmark | Llama 3-70B | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
| Cybench | 5% | — |

## Reasoning

- Llama 3-70B: 18.0 (#288)
- Qwen3 14B: 18.5 (#280)

| Benchmark | Llama 3-70B | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | 49.1% |
| DTBench | 54.2% | 64% |
| Epoch Capabilities Index | 122.93 | 138.23 |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1195 | — |
| LMCA | — | 18.2% |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |

## Math

- Llama 3-70B: 12.8 (#305)
- Qwen3 14B: 38.6 (#133)

| Benchmark | Llama 3-70B | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 66.4% |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |

## Knowledge

- Llama 3-70B: 20.8 (#277)
- Qwen3 14B: 39.3 (#134)

| Benchmark | Llama 3-70B | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 40.6% | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1149 | — |
| MMLU | 79.3% | — |

## Multilingual

- Llama 3-70B: 33.6 (#251)
- Qwen3 14B: —

| Benchmark | Llama 3-70B | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1142 | — |
| LMArena Chinese | 1114 | — |
| LMArena French | 1232 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Russian | 1159 | — |
| LMArena Spanish | 1241 | — |

## Instruction Following

- Llama 3-70B: 62.5 (#238)
- Qwen3 14B: —

| Benchmark | Llama 3-70B | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1194 | — |

## Long Context

- Llama 3-70B: 35.6 (#240)
- Qwen3 14B: 38.1 (#204)

| Benchmark | Llama 3-70B | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1174 | — |

## Writing & Preference

- Llama 3-70B: 42.8 (#231)
- Qwen3 14B: —

| Benchmark | Llama 3-70B | Qwen3 14B |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| LMArena Multi-Turn | 1223 | — |

## FAQ

### Is Llama 3-70B better than Qwen3 14B?

Qwen3 14B is the stronger model overall, scoring 35.5 to 28.8 on the Noometry Index.

### Is Llama 3-70B or Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 35.8 in the Noometry coding category.

### How many benchmarks do Llama 3-70B and Qwen3 14B share?

5 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3 14B has 12.