Model comparison
Qwen2.5-Max vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 40.7 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Qwen2.5-Max 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 35.3.
Side by side
| Qwen2.5-Max | Qwen3.7 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 40.7 | 51.5 |
| Released | 2025-01-25 | 2026-05-19 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 27 | 33 |
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Category by category
Coding Qwen3.7 Max leads
Qwen2.5-Max: 41.8 (#117), Qwen3.7 Max: 50.4 (#45)
| Benchmark | Qwen2.5-Max | Qwen3.7 Max |
|---|---|---|
| LMArena Coding | 1359 | 1498 |
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| LiveBench Coding | 64.4% | — |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
Qwen2.5-Max: —, Qwen3.7 Max: 22.1 (#135)
| Benchmark | Qwen2.5-Max | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Qwen2.5-Max: 25.6 (#147), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Qwen2.5-Max | Qwen3.7 Max |
|---|---|---|
| LMArena Hard Prompts | 1360 | 1483 |
| Epoch Capabilities Index | 132.53 | 153.68 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| LiveBench Reasoning | 51.4% | — |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LiveBench Data Analysis | 67.9% | — |
| LMCA | — | 44% |
| LiveBench | 62.3% | — |
Math Qwen3.7 Max leads
Qwen2.5-Max: 36.9 (#162), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Qwen2.5-Max | Qwen3.7 Max |
|---|---|---|
| LMArena Math | 1369 | 1490 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
| LiveBench Math | 58.4% | — |
Knowledge Qwen3.7 Max leads
Qwen2.5-Max: 35.3 (#186), Qwen3.7 Max: 61.6 (#28)
| Benchmark | Qwen2.5-Max | Qwen3.7 Max |
|---|---|---|
| LMArena Expert | 1337 | 1488 |
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| Confabulations | 21.8% | — |
Multilingual Qwen3.7 Max leads
Qwen2.5-Max: 48.1 (#146), Qwen3.7 Max: 56.9 (#15)
| Benchmark | Qwen2.5-Max | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1352 | 1474 |
| LMArena Chinese | 1382 | 1530 |
| LMArena Russian | 1353 | 1484 |
| LMArena French | 1396 | — |
| LMArena German | 1350 | — |
| LMArena Japanese | 1300 | — |
| LMArena Korean | 1304 | — |
| LMArena Spanish | 1377 | — |
Instruction Following Qwen3.7 Max leads
Qwen2.5-Max: 71.3 (#152), Qwen3.7 Max: 76.7 (#38)
| Benchmark | Qwen2.5-Max | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1335 | 1460 |
| LiveBench Instruction Following | 75.3% | — |
Long Context Qwen3.7 Max leads
Qwen2.5-Max: 41.4 (#142), Qwen3.7 Max: 45.4 (#40)
| Benchmark | Qwen2.5-Max | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1358 | 1482 |
Writing & Preference Qwen3.7 Max leads
Qwen2.5-Max: 55.4 (#146), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Qwen2.5-Max | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1367 | 1476 |
| LMArena Creative Writing | 1339 | 1449 |
| LMArena Multi-Turn | 1364 | 1481 |
| Short-Story Creative Writing | 72.9% | — |
| EQ-Bench 4 | — | 1110 |
| LiveBench Language | 56.3% | — |
Frequently asked questions
Is Qwen2.5-Max better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 40.7 on the Noometry Index.
Is Qwen2.5-Max or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 41.8 in the Noometry coding category.
How many benchmarks do Qwen2.5-Max and Qwen3.7 Max share?
13 benchmarks have published results for both models. Qwen2.5-Max has 27 scored results on Noometry and Qwen3.7 Max has 33.