Model comparison
Qwen2-72B vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 30.0 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Qwen2-72B scores higher in 0 categories and Qwen3.7 Plus in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 21.2.
- The biggest single-benchmark swing is GPQA Diamond: 40.8% for Qwen2-72B and 87.9% for Qwen3.7 Plus.
- Qwen2-72B has downloadable open weights; the other is API-only.
Side by side
| Qwen2-72B | Qwen3.7 Plus | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 30.0 | 45.3 |
| Released | 2024-06-07 | 2026-06-02 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $1.60 |
| Results tracked | 26 | 32 |
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Category by category
Coding Qwen3.7 Plus leads
Qwen2-72B: 29.1 (#310), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1196 | 1473 |
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| WeirdML | 11.3% | — |
| BigCodeBench Instruct | 38.5% | — |
| BigCodeBench Complete | 54% | — |
Agentic & Tool Use Qwen3.7 Plus leads
Qwen2-72B: 17.0 (#146), Qwen3.7 Plus: 21.4 (#138)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
| TheAgentCompany | 1.1% | — |
| METR Time Horizons | 29.9% | — |
Reasoning Qwen3.7 Plus leads
Qwen2-72B: 23.2 (#181), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1460 |
| Epoch Capabilities Index | 125.28 | 147.37 |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |
Math Qwen3.7 Plus leads
Qwen2-72B: 30.2 (#236), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| LMArena Math | 1235 | 1466 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| MATH Level 5 | 39.1% | — |
Knowledge Qwen3.7 Plus leads
Qwen2-72B: 21.2 (#275), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 40.8% | 87.9% |
| LMArena Expert | 1171 | 1467 |
| MMLU | 82.4% | — |
Multimodal Not comparable
Qwen2-72B: —, Qwen3.7 Plus: 41.8 (#33)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1279 |
| LMArena Document | — | 1444 |
Multilingual Qwen3.7 Plus leads
Qwen2-72B: 35.9 (#244), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1176 | 1445 |
| LMArena Chinese | 1240 | 1510 |
| LMArena French | 1170 | 1473 |
| LMArena German | 1151 | 1471 |
| LMArena Japanese | 1111 | 1413 |
| LMArena Korean | 1083 | 1415 |
| LMArena Russian | 1169 | 1457 |
| LMArena Spanish | 1169 | 1457 |
Instruction Following Qwen3.7 Plus leads
Qwen2-72B: 61.7 (#241), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1181 | 1440 |
Long Context Qwen3.7 Plus leads
Qwen2-72B: 36.1 (#235), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1192 | 1455 |
Writing & Preference Qwen3.7 Plus leads
Qwen2-72B: 40.8 (#241), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | Qwen2-72B | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1203 | 1455 |
| LMArena Creative Writing | 1181 | 1439 |
| LMArena Multi-Turn | 1196 | 1460 |
Frequently asked questions
Is Qwen2-72B better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 30.0 on the Noometry Index.
Is Qwen2-72B or Qwen3.7 Plus better for coding?
Qwen3.7 Plus scores higher on coding benchmarks: 36.6 versus 29.1 in the Noometry coding category.
How many benchmarks do Qwen2-72B and Qwen3.7 Plus share?
19 benchmarks have published results for both models. Qwen2-72B has 26 scored results on Noometry and Qwen3.7 Plus has 32.