Model comparison
Llama 2-13B vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.0 to 29.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Qwen3 14B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.2 to 27.5.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 64% for Qwen3 14B.
Side by side
| Llama 2-13B | Qwen3 14B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 35.0 |
| Released | 2023-07-18 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 32 | 12 |
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Category by category
Coding Qwen3 14B leads
Llama 2-13B: 30.4 (#287), Qwen3 14B: 36.7 (#191)
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1062 | — |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Qwen3 14B: 29.4 (#78)
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen3 14B leads
Llama 2-13B: 12.3 (#333), Qwen3 14B: 18.1 (#272)
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| DTBench | 42.2% | 64% |
| Epoch Capabilities Index | 105.8 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1051 | — |
| LMCA | — | 18.2% |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Qwen3 14B leads
Llama 2-13B: 28.7 (#226), Qwen3 14B: 37.0 (#102)
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Qwen3 14B leads
Llama 2-13B: 27.5 (#244), Qwen3 14B: 39.2 (#124)
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| 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 14B: —
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.7 (#274), Qwen3 14B: —
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| 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 14B: —
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1046 | — |
Long Context Qwen3 14B leads
Llama 2-13B: 32.3 (#264), Qwen3 14B: 38.0 (#201)
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1064 | — |
Writing & Preference Not comparable
Llama 2-13B: 30.0 (#284), Qwen3 14B: —
| Benchmark | Llama 2-13B | Qwen3 14B |
|---|---|---|
| LMArena Text | 1085 | — |
| LMArena Creative Writing | 1047 | — |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.0 to 29.1 on the Noometry Index.
Is Llama 2-13B or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 36.7 versus 30.4 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen3 14B share?
3 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3 14B has 12.