Model comparison
Llama 13b vs Qwen3.5 397B-A17B
Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 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 Qwen3.5 397B-A17B in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 397B-A17B leads 62.3 to 13.8.
Side by side
| Llama 13b | Qwen3.5 397B-A17B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 46.0 |
| Released | 2023-02-24 | 2026-02-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 21 | 36 |
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Category by category
Coding Qwen3.5 397B-A17B leads
Llama 13b: 21.4 (#337), Qwen3.5 397B-A17B: 42.0 (#114)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Coding | 683 | 1465 |
| LMArena WebDev | — | 1400 |
Agentic & Tool Use Not comparable
Llama 13b: —, Qwen3.5 397B-A17B: 33.3 (#53)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |
Reasoning Qwen3.5 397B-A17B leads
Llama 13b: 14.0 (#329), Qwen3.5 397B-A17B: 34.5 (#70)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Hard Prompts | 728 | 1448 |
| Epoch Capabilities Index | 100.58 | 146.65 |
| Kagi LLM Benchmark | — | 73.7% |
| NYT Connections (extended) | — | 58.9% |
| Chess Puzzles | — | 13% |
| Thematic Generalization | — | 65.1% |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 87.5% |
| LMCA | — | 37.9% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3.5 397B-A17B leads
Llama 13b: 26.7 (#256), Qwen3.5 397B-A17B: 46.1 (#73)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Math | 838 | 1454 |
| FrontierMath (Tiers 1-3) | — | 31.2% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3.5 397B-A17B: 53.3 (#58)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| GPQA Diamond | — | 86.4% |
| LMArena Expert | — | 1462 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3.5 397B-A17B: 40.7 (#44)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | — | 1263 |
| ScienceQA | 43.3% | — |
Multilingual Qwen3.5 397B-A17B leads
Llama 13b: 16.6 (#297), Qwen3.5 397B-A17B: 53.7 (#59)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | 819 | 1430 |
| LMArena Chinese | — | 1500 |
| LMArena French | — | 1461 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1426 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1429 |
| LMArena Spanish | — | 1441 |
Instruction Following Qwen3.5 397B-A17B leads
Llama 13b: 36.7 (#305), Qwen3.5 397B-A17B: 75.0 (#77)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | 781 | 1424 |
Long Context Not comparable
Llama 13b: —, Qwen3.5 397B-A17B: 44.1 (#74)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | — | 1442 |
Writing & Preference Qwen3.5 397B-A17B leads
Llama 13b: 13.8 (#312), Qwen3.5 397B-A17B: 62.3 (#79)
| Benchmark | Llama 13b | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | 834 | 1438 |
| LMArena Creative Writing | 794 | 1401 |
| LMArena Multi-Turn | 753 | 1446 |
| EQ-Bench Creative Writing | — | 1478 |
Frequently asked questions
Is Llama 13b better than Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 24.4 on the Noometry Index.
Is Llama 13b or Qwen3.5 397B-A17B better for coding?
Qwen3.5 397B-A17B scores higher on coding benchmarks: 42.0 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3.5 397B-A17B share?
9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3.5 397B-A17B has 36.