Model comparison
Llama 13b vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Qwen3-30B-A3B in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-30B-A3B leads 55.6 to 13.8.
Side by side
| Llama 13b | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 38.9 |
| Released | 2023-02-24 | 2025-04-28 |
| Weights | Open | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 21 | 32 |
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Category by category
Coding Qwen3-30B-A3B leads
Llama 13b: 21.4 (#337), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 683 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
Agentic & Tool Use Not comparable
Llama 13b: —, Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Qwen3-30B-A3B leads
Llama 13b: 14.0 (#329), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 728 | 1398 |
| Epoch Capabilities Index | 100.58 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3-30B-A3B leads
Llama 13b: 26.7 (#256), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 838 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
| LMArena Expert | — | 1396 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3-30B-A3B: —
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Qwen3-30B-A3B leads
Llama 13b: 16.6 (#297), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 819 | 1372 |
| LMArena Chinese | — | 1433 |
| LMArena French | — | 1418 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1337 |
| LMArena Korean | — | 1331 |
| LMArena Russian | — | 1370 |
| LMArena Spanish | — | 1404 |
Instruction Following Qwen3-30B-A3B leads
Llama 13b: 36.7 (#305), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 781 | 1363 |
Long Context Not comparable
Llama 13b: —, Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | — | 40.6% |
| LMArena Longer Query | — | 1379 |
Writing & Preference Qwen3-30B-A3B leads
Llama 13b: 13.8 (#312), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Llama 13b | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 834 | 1384 |
| LMArena Creative Writing | 794 | 1317 |
| LMArena Multi-Turn | 753 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
Frequently asked questions
Is Llama 13b better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 24.4 on the Noometry Index.
Is Llama 13b or Qwen3-30B-A3B better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3-30B-A3B share?
9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3-30B-A3B has 32.