Model comparison
Qwen1.5-7B vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.4 to 30.8 on the Noometry Index.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Qwen1.5-7B scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.7 Max leads 65.2 to 29.8.
- Qwen1.5-7B has downloadable open weights; the other is API-only.
Side by side
| Qwen1.5-7B | Qwen3.7 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 30.8 | 51.4 |
| 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 | 13 | 33 |
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Category by category
Coding Qwen3.7 Max leads
Qwen1.5-7B: 31.6 (#271), Qwen3.7 Max: 50.2 (#43)
| Benchmark | Qwen1.5-7B | Qwen3.7 Max |
|---|---|---|
| LMArena Coding | 1107 | 1498 |
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
Qwen1.5-7B: —, Qwen3.7 Max: 21.8 (#129)
| Benchmark | Qwen1.5-7B | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Qwen1.5-7B: 19.5 (#237), Qwen3.7 Max: 48.4 (#36)
| Benchmark | Qwen1.5-7B | Qwen3.7 Max |
|---|---|---|
| LMArena Hard Prompts | 1066 | 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 | — | 153.74 |
Math Qwen3.7 Max leads
Qwen1.5-7B: 29.0 (#222), Qwen3.7 Max: 62.3 (#26)
| Benchmark | Qwen1.5-7B | Qwen3.7 Max |
|---|---|---|
| LMArena Math | 1080 | 1488 |
| 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
Qwen1.5-7B: 28.2 (#239), Qwen3.7 Max: 61.7 (#24)
| Benchmark | Qwen1.5-7B | Qwen3.7 Max |
|---|---|---|
| LMArena Expert | 1055 | 1488 |
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| MMLU | 62.6% | — |
Multilingual Qwen3.7 Max leads
Qwen1.5-7B: 28.6 (#266), Qwen3.7 Max: 57.1 (#13)
| Benchmark | Qwen1.5-7B | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1058 | 1475 |
| LMArena Chinese | 1140 | 1533 |
| LMArena Russian | 1006 | 1482 |
Instruction Following Qwen3.7 Max leads
Qwen1.5-7B: 54.4 (#276), Qwen3.7 Max: 76.9 (#34)
| Benchmark | Qwen1.5-7B | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1058 | 1460 |
Long Context Qwen3.7 Max leads
Qwen1.5-7B: 33.1 (#261), Qwen3.7 Max: 45.4 (#34)
| Benchmark | Qwen1.5-7B | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1090 | 1484 |
Writing & Preference Qwen3.7 Max leads
Qwen1.5-7B: 29.8 (#288), Qwen3.7 Max: 65.2 (#52)
| Benchmark | Qwen1.5-7B | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1084 | 1476 |
| LMArena Creative Writing | 1035 | 1450 |
| LMArena Multi-Turn | 1061 | 1482 |
| EQ-Bench 4 | — | 1110 |
Frequently asked questions
Is Qwen1.5-7B better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.4 to 30.8 on the Noometry Index.
Is Qwen1.5-7B or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.2 versus 31.6 in the Noometry coding category.
How many benchmarks do Qwen1.5-7B and Qwen3.7 Max share?
12 benchmarks have published results for both models. Qwen1.5-7B has 13 scored results on Noometry and Qwen3.7 Max has 33.