# Llama 2-13B vs Qwen3 Coder Next

> Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-13b-vs-qwen3-coder-next
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where Qwen3 Coder Next leads 22.4 to 12.8.

## Snapshot

| | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.6 | 34.3 |
| Rank | 309 | 232 |
| Context | — | 262K |
| Input $/M | — | $0.12 |
| Output $/M | — | $0.80 |
| Weights | Open | Open |

## Coding

- Llama 2-13B: 30.9 (#291)
- Qwen3 Coder Next: 36.3 (#210)

| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| LMArena Coding | 1062 | — |

## Reasoning

- Llama 2-13B: 12.8 (#337)
- Qwen3 Coder Next: 22.4 (#196)

| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1051 | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |

## Math

- Llama 2-13B: 31.1 (#229)
- Qwen3 Coder Next: —

| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |

## Knowledge

- Llama 2-13B: 28.1 (#249)
- Qwen3 Coder Next: —

| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |

## Multimodal

- Llama 2-13B: —
- Qwen3 Coder Next: —

| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| ScienceQA | 55.8% | — |

## Multilingual

- Llama 2-13B: 26.5 (#279)
- Qwen3 Coder Next: —

| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1024 | — |
| LMArena Chinese | 1001 | — |
| LMArena French | 1044 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Russian | 1055 | — |
| LMArena Spanish | 1087 | — |

## Instruction Following

- Llama 2-13B: 53.3 (#287)
- Qwen3 Coder Next: —

| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1045 | — |

## Long Context

- Llama 2-13B: 32.3 (#269)
- Qwen3 Coder Next: —

| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1064 | — |

## Writing & Preference

- Llama 2-13B: 29.8 (#289)
- Qwen3 Coder Next: —

| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1084 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |

## FAQ

### Is Llama 2-13B better than Qwen3 Coder Next?

Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 29.6 on the Noometry Index.

### Is Llama 2-13B or Qwen3 Coder Next better for coding?

Qwen3 Coder Next scores higher on coding benchmarks: 36.3 versus 30.9 in the Noometry coding category.

### How many benchmarks do Llama 2-13B and Qwen3 Coder Next share?

0 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3 Coder Next has 3.