Model comparison
GPT-4.5 vs Qwen3.6 Flash
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 37.2 on the Noometry Index.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. GPT-4.5 scores higher in 0 categories and Qwen3.6 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.6 Flash leads 29.0 to 13.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 84.4% for Qwen3.6 Flash.
Side by side
| GPT-4.5 | Qwen3.6 Flash | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.2 | 38.8 |
| Released | 2025-02-27 | 2026-04-27 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $1.13 |
| Results tracked | 42 | 13 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
GPT-4.5: 42.2 (#109), Qwen3.6 Flash: —
| Benchmark | GPT-4.5 | Qwen3.6 Flash |
|---|---|---|
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
| LMArena Coding | 1396 | — |
| ALE-Bench | — | 326.4 |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Qwen3.6 Flash: —
| Benchmark | GPT-4.5 | Qwen3.6 Flash |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Qwen3.6 Flash leads
GPT-4.5: 13.9 (#330), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | GPT-4.5 | Qwen3.6 Flash |
|---|---|---|
| SimpleBench | 34.5% | 35.2% |
| Epoch Capabilities Index | 136.74 | 143.26 |
| ARC-AGI-2 | 0.8% | — |
| ARC-AGI-1 | 10.3% | — |
| Chess Puzzles | — | 20% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LMArena Hard Prompts | 1403 | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 77.1% |
| LiveBench Data Analysis | 64.3% | — |
| LMCA | — | 31% |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Qwen3.6 Flash leads
GPT-4.5: 32.6 (#211), Qwen3.6 Flash: 39.0 (#117)
| Benchmark | GPT-4.5 | Qwen3.6 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 84.4% |
| FrontierMath (Tiers 1-3) | — | 22.5% |
| LiveBench Math | 69.3% | — |
| LMArena Math | 1412 | — |
| MATH Level 5 | 78.6% | — |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.6 Flash leads
GPT-4.5: 32.5 (#211), Qwen3.6 Flash: 42.1 (#100)
| Benchmark | GPT-4.5 | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | 68.7% | 83.3% |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | — | 15.9% |
| Confabulations | 13.6% | — |
| LMArena Expert | 1394 | — |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Qwen3.6 Flash: —
| Benchmark | GPT-4.5 | Qwen3.6 Flash |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual Not comparable
GPT-4.5: 52.5 (#83), Qwen3.6 Flash: —
| Benchmark | GPT-4.5 | Qwen3.6 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), Qwen3.6 Flash: —
| Benchmark | GPT-4.5 | Qwen3.6 Flash |
|---|---|---|
| LiveBench Instruction Following | 72.3% | — |
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
GPT-4.5: 40.4 (#155), Qwen3.6 Flash: —
| Benchmark | GPT-4.5 | Qwen3.6 Flash |
|---|---|---|
| Fiction.LiveBench | 63.9% | — |
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
GPT-4.5: 56.9 (#134), Qwen3.6 Flash: —
| Benchmark | GPT-4.5 | Qwen3.6 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 Qwen3.6 Flash?
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 37.2 on the Noometry Index.
How many benchmarks do GPT-4.5 and Qwen3.6 Flash share?
4 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen3.6 Flash has 13.