Model comparison
GPT-4.5 vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 37.2 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. GPT-4.5 scores higher in 0 categories and Qwen3 Max in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 32.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 73.3% for Qwen3 Max.
Side by side
| GPT-4.5 | Qwen3 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.2 | 43.7 |
| Released | 2025-02-27 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.20 |
| Output $ / M tokens | — | $6 |
| Results tracked | 42 | 33 |
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Category by category
Coding Too close to call
GPT-4.5: 42.2 (#109), Qwen3 Max: 43.0 (#93)
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1396 | 1456 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Qwen3 Max: —
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| Cybench | 17.5% | — |
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
GPT-4.5: 13.9 (#330), Qwen3 Max: 22.6 (#190)
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1448 |
| Epoch Capabilities Index | 136.74 | 142.38 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| ARC-AGI-1 | 10.3% | — |
| Chess Puzzles | — | 4% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 82.1% |
| LiveBench Data Analysis | 64.3% | — |
| LMCA | — | 28.3% |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Qwen3 Max leads
GPT-4.5: 32.6 (#211), Qwen3 Max: 38.7 (#131)
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 73.3% |
| LMArena Math | 1412 | 1446 |
| MATH Level 5 | 78.6% | 97.1% |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| LiveBench Math | 69.3% | — |
Knowledge Qwen3 Max leads
GPT-4.5: 32.5 (#211), Qwen3 Max: 48.1 (#78)
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| GPQA Diamond | 68.7% | 72.6% |
| LMArena Expert | 1394 | 1455 |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | — | 48.7% |
| Confabulations | 13.6% | — |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Qwen3 Max: —
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual Qwen3 Max leads
GPT-4.5: 52.5 (#83), Qwen3 Max: 53.7 (#62)
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1413 | 1429 |
| LMArena Chinese | 1421 | 1478 |
| LMArena French | 1418 | 1449 |
| LMArena German | 1457 | 1463 |
| LMArena Japanese | 1416 | 1397 |
| LMArena Korean | 1392 | 1399 |
| LMArena Russian | 1419 | 1428 |
| LMArena Spanish | — | 1462 |
Instruction Following Qwen3 Max leads
GPT-4.5: 72.6 (#134), Qwen3 Max: 74.8 (#87)
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1404 | 1419 |
| LiveBench Instruction Following | 72.3% | — |
Long Context Qwen3 Max leads
GPT-4.5: 40.4 (#155), Qwen3 Max: 41.6 (#134)
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | 63.9% | 66.7% |
| LMArena Longer Query | 1406 | 1438 |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
GPT-4.5: 56.9 (#134), Qwen3 Max: 62.4 (#76)
| Benchmark | GPT-4.5 | Qwen3 Max |
|---|---|---|
| LMArena Text | 1417 | 1439 |
| LMArena Creative Writing | 1394 | 1402 |
| LMArena Multi-Turn | 1444 | 1446 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 37.2 on the Noometry Index.
Is GPT-4.5 or Qwen3 Max better for coding?
They score almost the same on coding (42.2 vs 43.0); test both on your own repository before choosing.
How many benchmarks do GPT-4.5 and Qwen3 Max share?
21 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen3 Max has 33.