Model comparison
o3-pro vs Qwen3 235B-A22B
o3-pro and Qwen3 235B-A22B score almost the same on the Noometry Index (42.7 vs 43.2), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. o3-pro scores higher in 3 categories and Qwen3 235B-A22B in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 46.1.
- The biggest single-benchmark swing is ARC-AGI-1: 59.3% for o3-pro and 11% for Qwen3 235B-A22B.
- Qwen3 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 131K.
- Qwen3 235B-A22B has downloadable open weights; the other is API-only.
Side by side
| o3-pro | Qwen3 235B-A22B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.7 | 43.2 |
| Released | 2025-06-10 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 100K | 16K |
| Input $ / M tokens | $20 | $0.70 |
| Output $ / M tokens | $80 | $2.80 |
| Results tracked | 12 | 49 |
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Category by category
Coding o3-pro leads
o3-pro: 55.1 (#22), Qwen3 235B-A22B: 43.8 (#72)
| Benchmark | o3-pro | Qwen3 235B-A22B |
|---|---|---|
| Aider Polyglot | 84.9% | 59.6% |
| WeirdML | 58.2% | 41% |
| SciCode | — | 42.4% |
| LMArena Coding | — | 1445 |
Agentic & Tool Use Not comparable
o3-pro: —, Qwen3 235B-A22B: 33.7 (#48)
| Benchmark | o3-pro | Qwen3 235B-A22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 52.1% |
| Vending-Bench 2 | — | -11.34 |
Reasoning o3-pro leads
o3-pro: 24.1 (#152), Qwen3 235B-A22B: 15.8 (#302)
| Benchmark | o3-pro | Qwen3 235B-A22B |
|---|---|---|
| ARC-AGI-2 | 4.9% | 1.3% |
| Kagi LLM Benchmark | 72.1% | 69.4% |
| ARC-AGI-1 | 59.3% | 11% |
| DTBench | 86.9% | 80.3% |
| LMCA | 38.5% | 29.3% |
| Epoch Capabilities Index | 147.43 | 143.87 |
| SimpleBench | — | 31% |
| CritPt | — | 0% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | — | 1433 |
| Mystery Game Puzzles | — | 9% |
| ForecastBench | — | 59.7 |
Math Not comparable
o3-pro: —, Qwen3 235B-A22B: 48.5 (#51)
| Benchmark | o3-pro | Qwen3 235B-A22B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| Omni-MATH | — | 71.8% |
| LMArena Math | — | 1431 |
| MATH Level 5 | — | 68.9% |
| FrontierMath (Feb 2025 set) | — | 8.5% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3 235B-A22B leads
o3-pro: 29.0 (#234), Qwen3 235B-A22B: 49.5 (#67)
| Benchmark | o3-pro | Qwen3 235B-A22B |
|---|---|---|
| Confabulations | 14.2% | 15.6% |
| Vectara Hallucination Rate | 23.3% | 9.3% |
| GPQA Diamond | — | 80.1% |
| SimpleQA Verified | — | 40.4% |
| MMLU-Pro | — | 84.4% |
| GPQA (HELM) | — | 72.7% |
| LMArena Expert | — | 1460 |
Multilingual Not comparable
o3-pro: —, Qwen3 235B-A22B: 52.5 (#84)
| Benchmark | o3-pro | Qwen3 235B-A22B |
|---|---|---|
| LMArena Non-English | — | 1410 |
| LMArena Chinese | — | 1481 |
| LMArena French | — | 1445 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1400 |
| LMArena Korean | — | 1391 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1429 |
Instruction Following Not comparable
o3-pro: —, Qwen3 235B-A22B: 72.8 (#132)
| Benchmark | o3-pro | Qwen3 235B-A22B |
|---|---|---|
| IFEval | — | 83.5% |
| LMArena Instruction Following | — | 1408 |
Long Context o3-pro leads
o3-pro: 72.1 (#1), Qwen3 235B-A22B: 46.1 (#25)
| Benchmark | o3-pro | Qwen3 235B-A22B |
|---|---|---|
| Fiction.LiveBench | 97.2% | 75% |
| LMArena Longer Query | — | 1426 |
Writing & Preference Qwen3 235B-A22B leads
o3-pro: 57.1 (#128), Qwen3 235B-A22B: 59.8 (#103)
| Benchmark | o3-pro | Qwen3 235B-A22B |
|---|---|---|
| Short-Story Creative Writing | 84.4% | 83% |
| LMArena Text | — | 1419 |
| LMArena Creative Writing | — | 1384 |
| EQ-Bench Creative Writing | — | 1366 |
| WildBench | — | 86.6% |
| LMArena Multi-Turn | — | 1432 |
Frequently asked questions
Is o3-pro better than Qwen3 235B-A22B?
o3-pro and Qwen3 235B-A22B score almost the same on the Noometry Index (42.7 vs 43.2), so choose on price, context window or the category you care about most.
Which is cheaper, o3-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; o3-pro lists at $20 and $80.
Is o3-pro or Qwen3 235B-A22B better for coding?
o3-pro scores higher on coding benchmarks: 55.1 versus 43.8 in the Noometry coding category.
Which has the bigger context window?
o3-pro does, with 200K tokens against 131K.
How many benchmarks do o3-pro and Qwen3 235B-A22B share?
12 benchmarks have published results for both models. o3-pro has 12 scored results on Noometry and Qwen3 235B-A22B has 49.