Model comparison
Qwen1.5-14B vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 32.7 on the Noometry Index.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Qwen1.5-14B scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 29.8.
- Qwen1.5-14B has downloadable open weights; the other is API-only.
Side by side
| Qwen1.5-14B | Qwen3.7 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 32.7 | 51.5 |
| Released | 2024-02-04 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 17 | 33 |
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Category by category
Coding Qwen3.7 Max leads
Qwen1.5-14B: 33.1 (#263), Qwen3.7 Max: 50.4 (#45)
| Benchmark | Qwen1.5-14B | Qwen3.7 Max |
|---|---|---|
| LMArena Coding | 1138 | 1498 |
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
Qwen1.5-14B: —, Qwen3.7 Max: 22.1 (#135)
| Benchmark | Qwen1.5-14B | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Qwen1.5-14B: 21.4 (#223), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Qwen1.5-14B | Qwen3.7 Max |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1483 |
| 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% |
| Epoch Capabilities Index | — | 153.68 |
Math Qwen3.7 Max leads
Qwen1.5-14B: 32.4 (#215), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Qwen1.5-14B | Qwen3.7 Max |
|---|---|---|
| LMArena Math | 1125 | 1490 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
Knowledge Qwen3.7 Max leads
Qwen1.5-14B: 29.8 (#232), Qwen3.7 Max: 61.6 (#28)
| Benchmark | Qwen1.5-14B | Qwen3.7 Max |
|---|---|---|
| LMArena Expert | 1094 | 1488 |
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| MMLU | 68.6% | — |
Multilingual Qwen3.7 Max leads
Qwen1.5-14B: 30.7 (#262), Qwen3.7 Max: 56.9 (#15)
| Benchmark | Qwen1.5-14B | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1095 | 1474 |
| LMArena Chinese | 1147 | 1530 |
| LMArena Russian | 1046 | 1484 |
| LMArena French | 1116 | — |
| LMArena German | 1043 | — |
| LMArena Japanese | 1019 | — |
| LMArena Spanish | 1085 | — |
Instruction Following Qwen3.7 Max leads
Qwen1.5-14B: 56.8 (#271), Qwen3.7 Max: 76.7 (#38)
| Benchmark | Qwen1.5-14B | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1102 | 1460 |
Long Context Qwen3.7 Max leads
Qwen1.5-14B: 33.7 (#257), Qwen3.7 Max: 45.4 (#40)
| Benchmark | Qwen1.5-14B | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1113 | 1482 |
Writing & Preference Qwen3.7 Max leads
Qwen1.5-14B: 33.6 (#276), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Qwen1.5-14B | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1128 | 1476 |
| LMArena Creative Writing | 1091 | 1449 |
| LMArena Multi-Turn | 1110 | 1481 |
| EQ-Bench 4 | — | 1110 |
Frequently asked questions
Is Qwen1.5-14B better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 32.7 on the Noometry Index.
Is Qwen1.5-14B or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 33.1 in the Noometry coding category.
How many benchmarks do Qwen1.5-14B and Qwen3.7 Max share?
12 benchmarks have published results for both models. Qwen1.5-14B has 17 scored results on Noometry and Qwen3.7 Max has 33.