Model comparison
GPT-4.5 vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 37.2 on the Noometry Index.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. GPT-4.5 scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 32.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 86.7% for Qwen3.7 Flash.
Side by side
| GPT-4.5 | Qwen3.7 Flash | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.2 | 39.9 |
| Released | 2025-02-27 | 2026-07-15 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.03 |
| Output $ / M tokens | — | $0.13 |
| Results tracked | 42 | 7 |
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Category by category
Coding Not comparable
GPT-4.5: 42.2 (#109), Qwen3.7 Flash: —
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
| LMArena Coding | 1396 | — |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Qwen3.7 Flash: —
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Qwen3.7 Flash leads
GPT-4.5: 13.9 (#330), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| Epoch Capabilities Index | 136.74 | 144.64 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| NYT Connections (extended) | — | 43.8% |
| ARC-AGI-1 | 10.3% | — |
| Chess Puzzles | — | 23% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LMArena Hard Prompts | 1403 | — |
| Mystery Game Puzzles | — | 15% |
| LiveBench Data Analysis | 64.3% | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Qwen3.7 Flash leads
GPT-4.5: 32.6 (#211), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 19.3% |
| LiveBench Math | 69.3% | — |
| LMArena Math | 1412 | — |
| MATH Level 5 | 78.6% | — |
Knowledge Qwen3.7 Flash leads
GPT-4.5: 32.5 (#211), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 68.7% | 82.3% |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
| LMArena Expert | 1394 | — |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Qwen3.7 Flash: —
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual Not comparable
GPT-4.5: 52.5 (#83), Qwen3.7 Flash: —
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1413 | — |
| LMArena Chinese | 1421 | — |
| LMArena French | 1418 | — |
| LMArena German | 1457 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1392 | — |
| LMArena Russian | 1419 | — |
Instruction Following Not comparable
GPT-4.5: 72.6 (#134), Qwen3.7 Flash: —
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| LiveBench Instruction Following | 72.3% | — |
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
GPT-4.5: 40.4 (#155), Qwen3.7 Flash: —
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| Fiction.LiveBench | 63.9% | — |
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
GPT-4.5: 56.9 (#134), Qwen3.7 Flash: —
| Benchmark | GPT-4.5 | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1417 | — |
| LMArena Creative Writing | 1394 | — |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LMArena Multi-Turn | 1444 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 37.2 on the Noometry Index.
How many benchmarks do GPT-4.5 and Qwen3.7 Flash share?
3 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen3.7 Flash has 7.