Model comparison
o3-mini vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 36.7 on the Noometry Index.
Last verified . 28 shared benchmarks.
Alibaba (Qwen)Summary
- They share 28 benchmarks with published results for both. o3-mini scores higher in 1 category and Qwen3 Max in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 Max leads 62.4 to 50.3.
- The biggest single-benchmark swing is SimpleQA Verified: 15.3% for o3-mini and 48.7% for Qwen3 Max.
- o3-mini is cheaper at $1.10 / $4.40 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- Qwen3 Max accepts more context: 262K tokens versus 200K.
Side by side
| o3-mini | Qwen3 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.7 | 43.7 |
| Released | 2024-12-20 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 262K |
| Max output | 100K | 66K |
| Input $ / M tokens | $1.10 | $1.20 |
| Output $ / M tokens | $4.40 | $6 |
| Results tracked | 51 | 33 |
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Category by category
Coding Qwen3 Max leads
o3-mini: 40.8 (#132), Qwen3 Max: 43.0 (#93)
| Benchmark | o3-mini | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1378 | 1456 |
| Aider Polyglot | 60.4% | — |
| SciCode | 39.8% | — |
| GSO | 1.3% | — |
| WeirdML | 43.7% | — |
| LiveBench Coding | 82.7% | — |
| CadEval | 54% | — |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
o3-mini: 29.6 (#84), Qwen3 Max: —
| Benchmark | o3-mini | Qwen3 Max |
|---|---|---|
| Cybench | 22.5% | — |
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
o3-mini: 16.3 (#305), Qwen3 Max: 22.6 (#190)
| Benchmark | o3-mini | Qwen3 Max |
|---|---|---|
| Chess Puzzles | 17% | 4% |
| LMArena Hard Prompts | 1366 | 1448 |
| Mystery Game Puzzles | 7% | 5% |
| DTBench | 68.8% | 82.1% |
| LMCA | 19% | 28.3% |
| Epoch Capabilities Index | 140.34 | 142.38 |
| ARC-AGI-2 | 3% | — |
| SimpleBench | 22.8% | — |
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| ARC-AGI-1 | 34.5% | — |
| CritPt | 0.3% | — |
| LiveBench Reasoning | 89.6% | — |
| LiveBench Data Analysis | 70.6% | — |
| ForecastBench | 59.6 | — |
| LiveBench | 75.9% | — |
Math Qwen3 Max leads
o3-mini: 28.1 (#244), Qwen3 Max: 38.7 (#131)
| Benchmark | o3-mini | Qwen3 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | 18.6% | 18.9% |
| OTIS Mock AIME 2024-2025 | 76.9% | 73.3% |
| LMArena Math | 1396 | 1446 |
| MATH Level 5 | 96.5% | 97.1% |
| FrontierMath Tier 4 | 0% | — |
| LiveBench Math | 77.3% | — |
| FrontierMath (Feb 2025 set) | 12.4% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Qwen3 Max leads
o3-mini: 38.3 (#146), Qwen3 Max: 48.1 (#78)
| Benchmark | o3-mini | Qwen3 Max |
|---|---|---|
| GPQA Diamond | 77% | 72.6% |
| SimpleQA Verified | 15.3% | 48.7% |
| LMArena Expert | 1364 | 1455 |
| Confabulations | 17.9% | — |
Multilingual Qwen3 Max leads
o3-mini: 45.7 (#164), Qwen3 Max: 53.7 (#62)
| Benchmark | o3-mini | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1319 | 1429 |
| LMArena Chinese | 1379 | 1478 |
| LMArena French | 1334 | 1449 |
| LMArena German | 1303 | 1463 |
| LMArena Japanese | 1286 | 1397 |
| LMArena Korean | 1314 | 1399 |
| LMArena Russian | 1304 | 1428 |
| LMArena Spanish | 1321 | 1462 |
Instruction Following Too close to call
o3-mini: 75.1 (#72), Qwen3 Max: 74.8 (#87)
| Benchmark | o3-mini | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1337 | 1419 |
| LiveBench Instruction Following | 84.4% | — |
Long Context Qwen3 Max leads
o3-mini: 33.8 (#256), Qwen3 Max: 41.6 (#134)
| Benchmark | o3-mini | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | 50% | 66.7% |
| LMArena Longer Query | 1343 | 1438 |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
o3-mini: 50.3 (#182), Qwen3 Max: 62.4 (#76)
| Benchmark | o3-mini | Qwen3 Max |
|---|---|---|
| LMArena Text | 1337 | 1439 |
| LMArena Creative Writing | 1286 | 1402 |
| LMArena Multi-Turn | 1320 | 1446 |
| Short-Story Creative Writing | 61.7% | — |
| LiveBench Language | 50.7% | — |
Frequently asked questions
Is o3-mini better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 36.7 on the Noometry Index.
Which is cheaper, o3-mini or Qwen3 Max?
o3-mini is cheaper. It lists at $1.10 per million input tokens and $4.40 per million output tokens; Qwen3 Max lists at $1.20 and $6.
Is o3-mini or Qwen3 Max better for coding?
Qwen3 Max scores higher on coding benchmarks: 43.0 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Max does, with 262K tokens against 200K.
How many benchmarks do o3-mini and Qwen3 Max share?
28 benchmarks have published results for both models. o3-mini has 51 scored results on Noometry and Qwen3 Max has 33.