Model comparison
o3-pro vs Qwen Max
o3-pro is the stronger model overall, scoring 42.9 to 34.7 on the Noometry Index. Qwen Max costs 12× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. o3-pro scores higher in 3 categories and Qwen Max in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 39.4.
- The biggest single-benchmark swing is Aider Polyglot: 84.9% for o3-pro and 21.8% for Qwen Max.
- Qwen Max is cheaper at $1.60 / $6.40 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 33K.
Side by side
| o3-pro | Qwen Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.9 | 34.7 |
| Released | 2025-06-10 | 2024-04-03 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 33K |
| Max output | 100K | 8K |
| Input $ / M tokens | $20 | $1.60 |
| Output $ / M tokens | $80 | $6.40 |
| Results tracked | 12 | 23 |
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Category by category
Coding o3-pro leads
o3-pro: 55.5 (#24), Qwen Max: 30.7 (#292)
| Benchmark | o3-pro | Qwen Max |
|---|---|---|
| Aider Polyglot | 84.9% | 21.8% |
| WeirdML | 58.2% | — |
| LMArena Coding | — | 1288 |
Reasoning Qwen Max leads
o3-pro: 23.8 (#171), Qwen Max: 25.1 (#151)
| Benchmark | o3-pro | Qwen Max |
|---|---|---|
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 72.1% | — |
| ARC-AGI-1 | 59.3% | — |
| LMArena Hard Prompts | — | 1269 |
| DTBench | 86.9% | — |
| LMCA | 38.5% | — |
| Epoch Capabilities Index | 147.42 | — |
Math Not comparable
o3-pro: —, Qwen Max: 22.3 (#276)
| Benchmark | o3-pro | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 16.1% |
| LMArena Math | — | 1275 |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge Too close to call
o3-pro: 29.5 (#238), Qwen Max: 30.3 (#228)
| Benchmark | o3-pro | Qwen Max |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 23.3% | — |
| LMArena Expert | — | 1248 |
Multilingual Not comparable
o3-pro: —, Qwen Max: 41.8 (#202)
| Benchmark | o3-pro | Qwen Max |
|---|---|---|
| LMArena Non-English | — | 1263 |
| LMArena Chinese | — | 1254 |
| LMArena French | — | 1330 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1205 |
| LMArena Korean | — | 1142 |
| LMArena Russian | — | 1274 |
| LMArena Spanish | — | 1290 |
Instruction Following Not comparable
o3-pro: —, Qwen Max: 66.5 (#208)
| Benchmark | o3-pro | Qwen Max |
|---|---|---|
| LMArena Instruction Following | — | 1262 |
Long Context o3-pro leads
o3-pro: 72.2 (#1), Qwen Max: 39.4 (#180)
| Benchmark | o3-pro | Qwen Max |
|---|---|---|
| Fiction.LiveBench | 97.2% | 66.7% |
| LMArena Longer Query | — | 1288 |
Writing & Preference o3-pro leads
o3-pro: 57.1 (#133), Qwen Max: 47.8 (#205)
| Benchmark | o3-pro | Qwen Max |
|---|---|---|
| LMArena Text | — | 1282 |
| LMArena Creative Writing | — | 1248 |
| Short-Story Creative Writing | 84.4% | — |
| LMArena Multi-Turn | — | 1277 |
Frequently asked questions
Is o3-pro better than Qwen Max?
o3-pro is the stronger model overall, scoring 42.9 to 34.7 on the Noometry Index. Qwen Max costs 12× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, o3-pro or Qwen Max?
Qwen Max is cheaper. It lists at $1.60 per million input tokens and $6.40 per million output tokens; o3-pro lists at $20 and $80.
Is o3-pro or Qwen Max better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
o3-pro does, with 200K tokens against 33K.
How many benchmarks do o3-pro and Qwen Max share?
2 benchmarks have published results for both models. o3-pro has 12 scored results on Noometry and Qwen Max has 23.