Model comparison
o1-pro vs Qwen3 235B-A22B
Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 31.5 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. o1-pro scores higher in 1 category and Qwen3 235B-A22B in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 235B-A22B leads 49.6 to 29.7.
- The biggest single-benchmark swing is ARC-AGI-1: 23.3% for o1-pro and 11% for Qwen3 235B-A22B.
- Qwen3 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 131K.
- Qwen3 235B-A22B has downloadable open weights; the other is API-only.
Side by side
| o1-pro | Qwen3 235B-A22B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.5 | 43.5 |
| Released | 2025-03-19 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 100K | 16K |
| Input $ / M tokens | $150 | $0.70 |
| Output $ / M tokens | $600 | $2.80 |
| Results tracked | 3 | 49 |
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Category by category
Coding Not comparable
o1-pro: —, Qwen3 235B-A22B: 44.3 (#75)
| Benchmark | o1-pro | Qwen3 235B-A22B |
|---|---|---|
| Aider Polyglot | — | 59.6% |
| SciCode | — | 42.4% |
| WeirdML | — | 41% |
| LMArena Coding | — | 1445 |
Agentic & Tool Use Not comparable
o1-pro: —, Qwen3 235B-A22B: 33.9 (#51)
| Benchmark | o1-pro | Qwen3 235B-A22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 52.1% |
| Vending-Bench 2 | — | -11.34 |
Reasoning o1-pro leads
o1-pro: 20.4 (#239), Qwen3 235B-A22B: 15.7 (#311)
| Benchmark | o1-pro | Qwen3 235B-A22B |
|---|---|---|
| ARC-AGI-1 | 23.3% | 11% |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 31% |
| Kagi LLM Benchmark | — | 69.4% |
| CritPt | — | 0% |
| Chess Puzzles | — | 12% |
| EnigmaEval | 6.1% | — |
| LMArena Hard Prompts | — | 1433 |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 80.3% |
| LMCA | — | 29.3% |
| Epoch Capabilities Index | — | 143.85 |
| ForecastBench | — | 59.7 |
Math Not comparable
o1-pro: —, Qwen3 235B-A22B: 50.4 (#57)
| Benchmark | o1-pro | Qwen3 235B-A22B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| Omni-MATH | — | 71.8% |
| LMArena Math | — | 1432 |
| MATH Level 5 | — | 68.9% |
| FrontierMath (Feb 2025 set) | — | 8.5% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3 235B-A22B leads
o1-pro: 29.7 (#234), Qwen3 235B-A22B: 49.6 (#73)
| Benchmark | o1-pro | Qwen3 235B-A22B |
|---|---|---|
| GPQA Diamond | — | 80.1% |
| Humanity's Last Exam | 8.1% | — |
| SimpleQA Verified | — | 40.4% |
| MMLU-Pro | — | 84.4% |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 72.7% |
| LMArena Expert | — | 1463 |
Multilingual Not comparable
o1-pro: —, Qwen3 235B-A22B: 52.3 (#89)
| Benchmark | o1-pro | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | — | 1409 |
| LMArena Chinese | — | 1481 |
| LMArena French | — | 1445 |
| LMArena German | — | 1433 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1391 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1430 |
Instruction Following Not comparable
o1-pro: —, Qwen3 235B-A22B: 72.6 (#136)
| Benchmark | o1-pro | Qwen3 235B-A22B |
|---|---|---|
| IFEval | — | 83.5% |
| LMArena Instruction Following | — | 1408 |
Long Context Not comparable
o1-pro: —, Qwen3 235B-A22B: 46.1 (#26)
| Benchmark | o1-pro | Qwen3 235B-A22B |
|---|---|---|
| Fiction.LiveBench | — | 75% |
| LMArena Longer Query | — | 1426 |
Writing & Preference Not comparable
o1-pro: —, Qwen3 235B-A22B: 59.6 (#108)
| Benchmark | o1-pro | Qwen3 235B-A22B |
|---|---|---|
| LMArena Text | — | 1419 |
| LMArena Creative Writing | — | 1384 |
| Short-Story Creative Writing | — | 83% |
| EQ-Bench Creative Writing | — | 1366 |
| WildBench | — | 86.6% |
| LMArena Multi-Turn | — | 1432 |
Frequently asked questions
Is o1-pro better than Qwen3 235B-A22B?
Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 31.5 on the Noometry Index.
Which is cheaper, o1-pro or Qwen3 235B-A22B?
Qwen3 235B-A22B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
o1-pro does, with 200K tokens against 131K.
How many benchmarks do o1-pro and Qwen3 235B-A22B share?
1 benchmark has published results for both models. o1-pro has 3 scored results on Noometry and Qwen3 235B-A22B has 49.