Model comparison
GPT-5 Pro vs Qwen2.5-Max
GPT-5 Pro is the stronger model overall, scoring 46.4 to 40.7 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Qwen2.5-Max in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 35.3.
Side by side
| GPT-5 Pro | Qwen2.5-Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.4 | 40.7 |
| Released | 2025-10-06 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 272K | — |
| Input $ / M tokens | $15 | — |
| Output $ / M tokens | $120 | — |
| Results tracked | 12 | 27 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Qwen2.5-Max: 41.8 (#117)
| Benchmark | GPT-5 Pro | Qwen2.5-Max |
|---|---|---|
| WeirdML | 60.4% | — |
| LiveBench Coding | — | 64.4% |
| LMArena Coding | — | 1359 |
| AlgoTune | 1.31 | — |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Qwen2.5-Max: 25.6 (#147)
| Benchmark | GPT-5 Pro | Qwen2.5-Max |
|---|---|---|
| Epoch Capabilities Index | 150.28 | 132.53 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| LiveBench Reasoning | — | 51.4% |
| LMArena Hard Prompts | — | 1360 |
| LiveBench Data Analysis | — | 67.9% |
| LiveBench | — | 62.3% |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Qwen2.5-Max: 36.9 (#162)
| Benchmark | GPT-5 Pro | Qwen2.5-Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| LiveBench Math | — | 58.4% |
| LMArena Math | — | 1369 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Qwen2.5-Max: 35.3 (#186)
| Benchmark | GPT-5 Pro | Qwen2.5-Max |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| Confabulations | — | 21.8% |
| LMArena Expert | — | 1337 |
Multilingual Not comparable
GPT-5 Pro: —, Qwen2.5-Max: 48.1 (#146)
| Benchmark | GPT-5 Pro | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | — | 1352 |
| LMArena Chinese | — | 1382 |
| LMArena French | — | 1396 |
| LMArena German | — | 1350 |
| LMArena Japanese | — | 1300 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1353 |
| LMArena Spanish | — | 1377 |
Instruction Following Not comparable
GPT-5 Pro: —, Qwen2.5-Max: 71.3 (#152)
| Benchmark | GPT-5 Pro | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | — | 75.3% |
| LMArena Instruction Following | — | 1335 |
Long Context Not comparable
GPT-5 Pro: —, Qwen2.5-Max: 41.4 (#142)
| Benchmark | GPT-5 Pro | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | — | 1358 |
Writing & Preference Not comparable
GPT-5 Pro: —, Qwen2.5-Max: 55.4 (#146)
| Benchmark | GPT-5 Pro | Qwen2.5-Max |
|---|---|---|
| LMArena Text | — | 1367 |
| LMArena Creative Writing | — | 1339 |
| Short-Story Creative Writing | — | 72.9% |
| LMArena Multi-Turn | — | 1364 |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is GPT-5 Pro better than Qwen2.5-Max?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 40.7 on the Noometry Index.
Is GPT-5 Pro or Qwen2.5-Max better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 41.8 in the Noometry coding category.
How many benchmarks do GPT-5 Pro and Qwen2.5-Max share?
1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen2.5-Max has 27.