Model comparison
o3 vs Qwen3.5 Max Preview
o3 is the stronger model overall, scoring 47.5 to 45.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. o3 scores higher in 5 categories and Qwen3.5 Max Preview in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o3 leads 54.6 to 41.8.
Side by side
| o3 | Qwen3.5 Max Preview | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 47.5 | 45.3 |
| Released | 2025-04-16 | — |
| Weights | Proprietary | Proprietary |
| Context window | 200K | — |
| Max output | 100K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $8 | — |
| Results tracked | 63 | 17 |
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Category by category
Coding o3 leads
o3: 46.8 (#64), Qwen3.5 Max Preview: 44.0 (#77)
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Coding | 1408 | 1487 |
| SWE-bench Verified | 62.3% | — |
| SWE-bench Verified (bash only) | 58.4% | — |
| Aider Polyglot | 81.3% | — |
| GSO | 8.8% | — |
| WeirdML | 52.4% | — |
| CadEval | 74% | — |
| ALE-Bench | 933.55 | — |
Agentic & Tool Use Not comparable
o3: 34.5 (#44), Qwen3.5 Max Preview: —
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 30.8% | — |
| DeepResearch Bench | 45.2% | — |
| OSWorld | 23% | — |
| LMArena Search | 1144 | — |
| METR Time Horizons | 65.4% | — |
Reasoning o3 leads
o3: 32.0 (#78), Qwen3.5 Max Preview: 30.8 (#84)
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Hard Prompts | 1402 | 1483 |
| ARC-AGI-2 | 6.5% | — |
| SimpleBench | 53.1% | — |
| Kagi LLM Benchmark | 67.6% | — |
| ARC-AGI-1 | 60.8% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 38% | — |
| EnigmaEval | 13.1% | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 84.8% | — |
| LMCA | 39.7% | — |
| Epoch Capabilities Index | 146.86 | — |
| ForecastBench | 62.5 | — |
Math o3 leads
o3: 50.2 (#58), Qwen3.5 Max Preview: 40.1 (#94)
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Math | 1426 | 1474 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| OTIS Mock AIME 2024-2025 | 84.4% | — |
| Omni-MATH | 71.4% | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 18.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge o3 leads
o3: 54.6 (#52), Qwen3.5 Max Preview: 41.8 (#107)
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Expert | 1402 | 1489 |
| GPQA Diamond | 81.8% | — |
| Humanity's Last Exam | 20.3% | — |
| SimpleQA Verified | 49.4% | — |
| MMLU-Pro | 85.9% | — |
| Confabulations | 14.4% | — |
| GPQA (HELM) | 75.3% | — |
Multimodal Not comparable
o3: 41.4 (#36), Qwen3.5 Max Preview: —
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Vision | 1214 | — |
| GeoBench | 74% | — |
| VPCT | 52% | — |
Multilingual Qwen3.5 Max Preview leads
o3: 51.7 (#105), Qwen3.5 Max Preview: 56.2 (#22)
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Non-English | 1401 | 1465 |
| LMArena Chinese | 1437 | 1534 |
| LMArena French | 1430 | 1484 |
| LMArena German | 1420 | 1487 |
| LMArena Japanese | 1403 | 1495 |
| LMArena Korean | 1370 | 1438 |
| LMArena Russian | 1406 | 1471 |
| LMArena Spanish | 1395 | 1470 |
Instruction Following Qwen3.5 Max Preview leads
o3: 72.8 (#127), Qwen3.5 Max Preview: 77.0 (#31)
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1368 | 1467 |
| IFEval | 86.9% | — |
Long Context o3 leads
o3: 53.3 (#6), Qwen3.5 Max Preview: 45.2 (#45)
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Longer Query | 1372 | 1476 |
| Fiction.LiveBench | 88.9% | — |
| CL-bench | 17.8% | — |
Writing & Preference Qwen3.5 Max Preview leads
o3: 63.5 (#64), Qwen3.5 Max Preview: 66.0 (#41)
| Benchmark | o3 | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Text | 1410 | 1470 |
| LMArena Creative Writing | 1359 | 1464 |
| LMArena Multi-Turn | 1405 | 1478 |
| Short-Story Creative Writing | 83.9% | — |
| EQ-Bench Creative Writing | 1676 | — |
| WildBench | 86.1% | — |
Frequently asked questions
Is o3 better than Qwen3.5 Max Preview?
o3 is the stronger model overall, scoring 47.5 to 45.3 on the Noometry Index.
Is o3 or Qwen3.5 Max Preview better for coding?
o3 scores higher on coding benchmarks: 46.8 versus 44.0 in the Noometry coding category.
How many benchmarks do o3 and Qwen3.5 Max Preview share?
17 benchmarks have published results for both models. o3 has 63 scored results on Noometry and Qwen3.5 Max Preview has 17.