Model comparison
Llama 13b vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.0 to 23.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Llama 13b scores higher in 0 categories and Qwen3 14B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3 14B leads 36.7 to 20.9.
Side by side
| Llama 13b | Qwen3 14B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 23.9 | 35.0 |
| Released | 2023-02-24 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 21 | 12 |
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Category by category
Coding Qwen3 14B leads
Llama 13b: 20.9 (#332), Qwen3 14B: 36.7 (#191)
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 683 | — |
Agentic & Tool Use Not comparable
Llama 13b: —, Qwen3 14B: 29.4 (#78)
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen3 14B leads
Llama 13b: 13.4 (#327), Qwen3 14B: 18.1 (#272)
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| Epoch Capabilities Index | 100.09 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 728 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3 14B leads
Llama 13b: 24.4 (#259), Qwen3 14B: 37.0 (#102)
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 838 | — |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3 14B: 39.2 (#124)
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3 14B: —
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Not comparable
Llama 13b: 16.8 (#292), Qwen3 14B: —
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 819 | — |
Instruction Following Not comparable
Llama 13b: 36.9 (#300), Qwen3 14B: —
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 781 | — |
Long Context Not comparable
Llama 13b: —, Qwen3 14B: 38.0 (#201)
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
Writing & Preference Not comparable
Llama 13b: 13.9 (#307), Qwen3 14B: —
| Benchmark | Llama 13b | Qwen3 14B |
|---|---|---|
| LMArena Text | 834 | — |
| LMArena Creative Writing | 794 | — |
| LMArena Multi-Turn | 753 | — |
Frequently asked questions
Is Llama 13b better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.0 to 23.9 on the Noometry Index.
Is Llama 13b or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 36.7 versus 20.9 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3 14B share?
1 benchmark has published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3 14B has 12.