# Llama-3.3-70B-Instruct vs Qwen-14B

> Llama-3.3-70B-Instruct and Qwen-14B score almost the same on the Noometry Index (30.3 vs 30.8), so choose on price, context window or the category you care about most.

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

## Summary

- They share 12 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 3 categories and Qwen-14B in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama-3.3-70B-Instruct leads 47.8 to 27.8.

## Snapshot

| | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.3 | 30.8 |
| Rank | 283 | 273 |
| Context | 128K | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.32 | — |
| Weights | Open | Open |

## Coding

- Llama-3.3-70B-Instruct: 30.6 (#284)
- Qwen-14B: 30.6 (#283)

| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Coding | 1268 | 1072 |
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| BigCodeBench Instruct | 46.9% | — |
| LiveBench Coding | 36.6% | — |
| BigCodeBench Complete | 57.5% | — |

## Agentic & Tool Use

- Llama-3.3-70B-Instruct: 25.6 (#100)
- Qwen-14B: —

| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |

## Reasoning

- Llama-3.3-70B-Instruct: 13.7 (#325)
- Qwen-14B: 18.7 (#255)

| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1027 |
| Epoch Capabilities Index | 127.32 | 112.8 |
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| BIG-Bench Hard | — | 55% |
| ForecastBench | 58.6 | — |
| LAMBADA | — | 71.1% |
| LiveBench | 50.2% | — |
| PIQA | — | 79.9% |

## Math

- Llama-3.3-70B-Instruct: 14.3 (#292)
- Qwen-14B: 28.7 (#224)

| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Math | 1268 | 1068 |
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| MATH Level 5 | 41.6% | — |
| GSM8K | — | 61.3% |

## Knowledge

- Llama-3.3-70B-Instruct: 30.5 (#220)
- Qwen-14B: —

| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| MMLU | 86.3% | 66.3% |
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| LMArena Expert | 1225 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |

## Multilingual

- Llama-3.3-70B-Instruct: 40.1 (#215)
- Qwen-14B: 27.7 (#270)

| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1236 | 1042 |
| LMArena Chinese | 1217 | 1077 |
| LMArena French | 1280 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1149 | — |
| LMArena Korean | 1142 | — |
| LMArena Russian | 1252 | — |
| LMArena Spanish | 1269 | — |

## Instruction Following

- Llama-3.3-70B-Instruct: 71.3 (#152)
- Qwen-14B: 52.6 (#284)

| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1242 | 1031 |
| LiveBench Instruction Following | 82.7% | — |

## Long Context

- Llama-3.3-70B-Instruct: 26.4 (#290)
- Qwen-14B: 31.3 (#276)

| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1256 | 1029 |
| Fiction.LiveBench | 33.3% | — |

## Writing & Preference

- Llama-3.3-70B-Instruct: 47.8 (#203)
- Qwen-14B: 27.8 (#294)

| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Text | 1274 | 1051 |
| LMArena Creative Writing | 1250 | 1028 |
| LMArena Multi-Turn | 1279 | 1022 |
| LiveBench Language | 39.2% | — |

## FAQ

### Is Llama-3.3-70B-Instruct better than Qwen-14B?

Llama-3.3-70B-Instruct and Qwen-14B score almost the same on the Noometry Index (30.3 vs 30.8), so choose on price, context window or the category you care about most.

### Is Llama-3.3-70B-Instruct or Qwen-14B better for coding?

They score almost the same on coding (30.6 vs 30.6); test both on your own repository before choosing.

### How many benchmarks do Llama-3.3-70B-Instruct and Qwen-14B share?

12 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Qwen-14B has 18.