Model comparison
Qwen2.5-VL 72B Instruct vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 29.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen3.7 Max leads 49.2 to 20.7.
- Qwen3.7 Max is cheaper at $2.50 / $7.50 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- Qwen3.7 Max accepts more context: 1M tokens versus 131K.
- Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen2.5-VL 72B Instruct | Qwen3.7 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 29.9 | 51.5 |
| Released | 2024-09 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | 131K | 1M |
| Max output | 8K | 131K |
| Input $ / M tokens | $2.80 | $2.50 |
| Output $ / M tokens | $8.40 | $7.50 |
| Results tracked | 6 | 33 |
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Category by category
Coding Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3.7 Max: 50.4 (#45)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3.7 Max |
|---|---|---|
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| LMArena Coding | — | 1498 |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Qwen3.7 Max leads
Qwen2.5-VL 72B Instruct: 18.6 (#144), Qwen3.7 Max: 22.1 (#135)
Reasoning Qwen3.7 Max leads
Qwen2.5-VL 72B Instruct: 20.7 (#233), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3.7 Max |
|---|---|---|
| SimpleBench | — | 70.4% |
| Kagi LLM Benchmark | 36% | — |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| LMArena Hard Prompts | — | 1483 |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
| Epoch Capabilities Index | — | 153.68 |
Math Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3.7 Max: 62.4 (#32)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3.7 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
| LMArena Math | — | 1490 |
Knowledge Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3.7 Max: 61.6 (#28)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
Multimodal Not comparable
Qwen2.5-VL 72B Instruct: 33.5 (#97), Qwen3.7 Max: —
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3.7 Max |
|---|---|---|
| LMArena Vision | 1107 | — |
| Video-MME | 73.5% | — |
| GeoBench | 62% | — |
| SpatialViz-Bench | 33.3% | — |
Multilingual Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3.7 Max: 56.9 (#15)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1530 |
| LMArena Russian | — | 1484 |
Instruction Following Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3.7 Max: 76.7 (#38)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | — | 1460 |
Long Context Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3.7 Max: 45.4 (#40)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1482 |
Writing & Preference Not comparable
Qwen2.5-VL 72B Instruct: —, Qwen3.7 Max: 65.0 (#54)
| Benchmark | Qwen2.5-VL 72B Instruct | Qwen3.7 Max |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1449 |
| EQ-Bench 4 | — | 1110 |
| LMArena Multi-Turn | — | 1481 |
Frequently asked questions
Is Qwen2.5-VL 72B Instruct better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 29.9 on the Noometry Index.
Which is cheaper, Qwen2.5-VL 72B Instruct or Qwen3.7 Max?
Qwen3.7 Max is cheaper. It lists at $2.50 per million input tokens and $7.50 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
Which has the bigger context window?
Qwen3.7 Max does, with 1M tokens against 131K.
How many benchmarks do Qwen2.5-VL 72B Instruct and Qwen3.7 Max share?
0 benchmarks have published results for both models. Qwen2.5-VL 72B Instruct has 6 scored results on Noometry and Qwen3.7 Max has 33.