Model comparison
Llama 2-13B vs Qwen3 Coder Next
Qwen3 Coder Next is the stronger model overall, scoring 33.8 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen3 Coder Next leads 21.7 to 12.3.
Side by side
| Llama 2-13B | Qwen3 Coder Next | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 33.8 |
| Released | 2023-07-18 | 2026-02-02 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.80 |
| Results tracked | 32 | 3 |
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Category by category
Coding Qwen3 Coder Next leads
Llama 2-13B: 30.4 (#287), Qwen3 Coder Next: 35.8 (#206)
| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| LMArena Coding | 1062 | — |
Reasoning Qwen3 Coder Next leads
Llama 2-13B: 12.3 (#333), Qwen3 Coder Next: 21.7 (#191)
| 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 | 105.8 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Not comparable
Llama 2-13B: 28.7 (#226), Qwen3 Coder Next: —
| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Not comparable
Llama 2-13B: 27.5 (#244), 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 Not comparable
Llama 2-13B: —, Qwen3 Coder Next: —
| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.7 (#274), Qwen3 Coder Next: —
| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1024 | — |
| LMArena Chinese | 1001 | — |
| LMArena French | 1043 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Russian | 1055 | — |
| LMArena Spanish | 1086 | — |
Instruction Following Not comparable
Llama 2-13B: 53.5 (#282), Qwen3 Coder Next: —
| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1046 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#264), Qwen3 Coder Next: —
| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Not comparable
Llama 2-13B: 30.0 (#284), Qwen3 Coder Next: —
| Benchmark | Llama 2-13B | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1085 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Qwen3 Coder Next?
Qwen3 Coder Next is the stronger model overall, scoring 33.8 to 29.1 on the Noometry Index.
Is Llama 2-13B or Qwen3 Coder Next better for coding?
Qwen3 Coder Next scores higher on coding benchmarks: 35.8 versus 30.4 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.