Model comparison
o1-pro vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.5 to 31.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 29.3.
- Qwen3 Max is cheaper at $1.20 / $6 per million input/output tokens, against $150 / $600 for o1-pro.
- Qwen3 Max accepts more context: 262K tokens versus 200K.
Side by side
| o1-pro | Qwen3 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 43.5 |
| Released | 2025-03-19 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 262K |
| Max output | 100K | 66K |
| Input $ / M tokens | $150 | $1.20 |
| Output $ / M tokens | $600 | $6 |
| Results tracked | 3 | 33 |
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Category by category
Coding Not comparable
o1-pro: —, Qwen3 Max: 42.4 (#93)
| Benchmark | o1-pro | Qwen3 Max |
|---|---|---|
| LMArena Coding | — | 1456 |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
o1-pro: —, Qwen3 Max: —
| Benchmark | o1-pro | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
o1-pro: 20.2 (#223), Qwen3 Max: 22.0 (#186)
| Benchmark | o1-pro | Qwen3 Max |
|---|---|---|
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| ARC-AGI-1 | 23.3% | — |
| Chess Puzzles | — | 4% |
| EnigmaEval | 6.1% | — |
| LMArena Hard Prompts | — | 1448 |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 82.1% |
| LMCA | — | 28.3% |
| Epoch Capabilities Index | — | 142.41 |
Math Not comparable
o1-pro: —, Qwen3 Max: 37.6 (#94)
| Benchmark | o1-pro | Qwen3 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LMArena Math | — | 1447 |
| MATH Level 5 | — | 97.1% |
Knowledge Qwen3 Max leads
o1-pro: 29.3 (#227), Qwen3 Max: 48.1 (#72)
| Benchmark | o1-pro | Qwen3 Max |
|---|---|---|
| GPQA Diamond | — | 72.6% |
| Humanity's Last Exam | 8.1% | — |
| SimpleQA Verified | — | 48.7% |
| LMArena Expert | — | 1457 |
Multilingual Not comparable
o1-pro: —, Qwen3 Max: 53.9 (#58)
| Benchmark | o1-pro | Qwen3 Max |
|---|---|---|
| LMArena Non-English | — | 1429 |
| LMArena Chinese | — | 1479 |
| LMArena French | — | 1450 |
| LMArena German | — | 1463 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1397 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1463 |
Instruction Following Not comparable
o1-pro: —, Qwen3 Max: 75.0 (#81)
| Benchmark | o1-pro | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | — | 1420 |
Long Context Not comparable
o1-pro: —, Qwen3 Max: 41.6 (#129)
| Benchmark | o1-pro | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
| LMArena Longer Query | — | 1439 |
Writing & Preference Not comparable
o1-pro: —, Qwen3 Max: 62.6 (#72)
| Benchmark | o1-pro | Qwen3 Max |
|---|---|---|
| LMArena Text | — | 1439 |
| LMArena Creative Writing | — | 1401 |
| LMArena Multi-Turn | — | 1446 |
Frequently asked questions
Is o1-pro better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.5 to 31.2 on the Noometry Index.
Which is cheaper, o1-pro or Qwen3 Max?
Qwen3 Max is cheaper. It lists at $1.20 per million input tokens and $6 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
Qwen3 Max does, with 262K tokens against 200K.
How many benchmarks do o1-pro and Qwen3 Max share?
0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen3 Max has 33.