Model comparison
GPT-4.5 vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.0 to 36.9 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GPT-4.5 scores higher in 1 category and Qwen3.8 Max in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.1 to 31.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 100% for Qwen3.8 Max.
Side by side
| GPT-4.5 | Qwen3.8 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.9 | 56.0 |
| Released | 2025-02-27 | 2026-08-02 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 42 | 38 |
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Category by category
Coding Qwen3.8 Max leads
GPT-4.5: 41.8 (#102), Qwen3.8 Max: 52.3 (#30)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1397 | 1499 |
| DeepSWE | — | 57.5% |
| Aider Polyglot | 44.9% | — |
| LMArena WebDev | — | 1671 |
| FrontierSWE | — | 15.8% |
| SciCode | — | 52.9% |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
Agentic & Tool Use Qwen3.8 Max leads
GPT-4.5: 27.6 (#92), Qwen3.8 Max: 42.6 (#17)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| τ²-bench Banking | — | 55.1% |
| Cybench | 17.5% | — |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
GPT-4.5: 14.1 (#320), Qwen3.8 Max: 53.4 (#26)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Hard Prompts | 1404 | 1493 |
| Epoch Capabilities Index | 136.74 | 156.69 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| NYT Connections (extended) | — | 88.3% |
| ARC-AGI-1 | 10.3% | — |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LiveBench Data Analysis | 64.3% | — |
| LMCA | — | 46.2% |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Qwen3.8 Max leads
GPT-4.5: 31.0 (#200), Qwen3.8 Max: 73.1 (#15)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 100% |
| LMArena Math | 1412 | 1498 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| ProofBench | — | 58% |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge Qwen3.8 Max leads
GPT-4.5: 32.4 (#205), Qwen3.8 Max: 61.7 (#25)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | 68.7% | 92.7% |
| LMArena Expert | 1394 | 1504 |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | — | 47.3% |
| Confabulations | 13.6% | — |
Multimodal Too close to call
GPT-4.5: 37.0 (#68), Qwen3.8 Max: 36.9 (#70)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | 1195 | 1314 |
| VPCT | 45% | — |
| Furniture Assembly | — | 20% |
Multilingual Qwen3.8 Max leads
GPT-4.5: 52.7 (#78), Qwen3.8 Max: 56.6 (#18)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1413 | 1468 |
| LMArena Chinese | 1421 | 1537 |
| LMArena French | 1417 | 1502 |
| LMArena German | 1457 | 1489 |
| LMArena Japanese | 1416 | 1466 |
| LMArena Korean | 1392 | 1467 |
| LMArena Russian | 1419 | 1478 |
| LMArena Spanish | — | 1495 |
Instruction Following Qwen3.8 Max leads
GPT-4.5: 72.8 (#129), Qwen3.8 Max: 77.7 (#19)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1404 | 1478 |
| LiveBench Instruction Following | 72.3% | — |
Long Context Qwen3.8 Max leads
GPT-4.5: 40.4 (#150), Qwen3.8 Max: 45.5 (#30)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1406 | 1486 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference Qwen3.8 Max leads
GPT-4.5: 57.1 (#129), Qwen3.8 Max: 67.0 (#31)
| Benchmark | GPT-4.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1417 | 1480 |
| LMArena Creative Writing | 1394 | 1478 |
| LMArena Multi-Turn | 1444 | 1487 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.0 to 36.9 on the Noometry Index.
Is GPT-4.5 or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 52.3 versus 41.8 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Qwen3.8 Max share?
20 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen3.8 Max has 38.