Model comparison
Llama 13b vs Qwen3.5-Flash
Qwen3.5-Flash is the stronger model overall, scoring 42.5 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-Flash in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5-Flash leads 57.9 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Llama 13b | Qwen3.5-Flash | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 42.5 |
| Released | 2023-02-24 | 2026-02-23 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 21 | 32 |
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Category by category
Coding Qwen3.5-Flash leads
Llama 13b: 21.4 (#337), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 683 | 1412 |
| LMArena WebDev | — | 1244 |
| ALE-Bench | — | 221.8 |
Agentic & Tool Use Not comparable
Llama 13b: —, Qwen3.5-Flash: —
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Llama 13b: 14.0 (#329), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 728 | 1403 |
| Epoch Capabilities Index | 100.58 | 143.98 |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3.5-Flash leads
Llama 13b: 26.7 (#256), Qwen3.5-Flash: 37.4 (#158)
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 838 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3.5-Flash: 43.2 (#93)
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| SimpleQA Verified | — | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1407 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3.5-Flash: —
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Qwen3.5-Flash leads
Llama 13b: 16.6 (#297), Qwen3.5-Flash: 50.5 (#121)
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 819 | 1385 |
| LMArena Chinese | — | 1446 |
| LMArena French | — | 1412 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1368 |
| LMArena Korean | — | 1344 |
| LMArena Russian | — | 1379 |
| LMArena Spanish | — | 1400 |
Instruction Following Qwen3.5-Flash leads
Llama 13b: 36.7 (#305), Qwen3.5-Flash: 72.6 (#139)
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 781 | 1374 |
Long Context Not comparable
Llama 13b: —, Qwen3.5-Flash: 42.4 (#124)
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | — | 1392 |
Writing & Preference Qwen3.5-Flash leads
Llama 13b: 13.8 (#312), Qwen3.5-Flash: 57.9 (#122)
| Benchmark | Llama 13b | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 834 | 1397 |
| LMArena Creative Writing | 794 | 1343 |
| LMArena Multi-Turn | 753 | 1393 |
Frequently asked questions
Is Llama 13b better than Qwen3.5-Flash?
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 24.4 on the Noometry Index.
Is Llama 13b or Qwen3.5-Flash better for coding?
Qwen3.5-Flash scores higher on coding benchmarks: 34.2 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3.5-Flash share?
9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3.5-Flash has 32.