Model comparison
Llama 13b vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 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 Qwen3.7 Max in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.7 Max leads 65.0 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Llama 13b | Qwen3.7 Max | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 51.5 |
| Released | 2023-02-24 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 21 | 33 |
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Category by category
Coding Qwen3.7 Max leads
Llama 13b: 21.4 (#337), Qwen3.7 Max: 50.4 (#45)
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| LMArena Coding | 683 | 1498 |
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
Llama 13b: —, Qwen3.7 Max: 22.1 (#135)
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Llama 13b: 14.0 (#329), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| LMArena Hard Prompts | 728 | 1483 |
| Epoch Capabilities Index | 100.58 | 153.68 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Qwen3.7 Max leads
Llama 13b: 26.7 (#256), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| LMArena Math | 838 | 1490 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Qwen3.7 Max: 61.6 (#28)
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Qwen3.7 Max: —
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Qwen3.7 Max leads
Llama 13b: 16.6 (#297), Qwen3.7 Max: 56.9 (#15)
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 819 | 1474 |
| LMArena Chinese | — | 1530 |
| LMArena Russian | — | 1484 |
Instruction Following Qwen3.7 Max leads
Llama 13b: 36.7 (#305), Qwen3.7 Max: 76.7 (#38)
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 781 | 1460 |
Long Context Not comparable
Llama 13b: —, Qwen3.7 Max: 45.4 (#40)
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1482 |
Writing & Preference Qwen3.7 Max leads
Llama 13b: 13.8 (#312), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Llama 13b | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 834 | 1476 |
| LMArena Creative Writing | 794 | 1449 |
| LMArena Multi-Turn | 753 | 1481 |
| EQ-Bench 4 | — | 1110 |
Frequently asked questions
Is Llama 13b better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 24.4 on the Noometry Index.
Is Llama 13b or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Qwen3.7 Max share?
9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Qwen3.7 Max has 33.