Model comparison
o3-mini vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 36.7 on the Noometry Index.
Last verified . 27 shared benchmarks.
Alibaba (Qwen)Summary
- They share 27 benchmarks with published results for both. o3-mini scores higher in 2 categories and Qwen3.7 Plus in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Plus leads 39.3 to 16.3.
- The biggest single-benchmark swing is LMCA: 19% for o3-mini and 37.6% for Qwen3.7 Plus.
- Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- Qwen3.7 Plus accepts more context: 1M tokens versus 200K.
Side by side
| o3-mini | Qwen3.7 Plus | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.7 | 45.3 |
| Released | 2024-12-20 | 2026-06-02 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1M |
| Max output | 100K | 131K |
| Input $ / M tokens | $1.10 | $0.40 |
| Output $ / M tokens | $4.40 | $1.60 |
| Results tracked | 51 | 32 |
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Category by category
Coding o3-mini leads
o3-mini: 40.8 (#132), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| SciCode | 39.8% | 45.5% |
| LMArena Coding | 1378 | 1473 |
| FrontierCode | — | 10.2% |
| Aider Polyglot | 60.4% | — |
| GSO | 1.3% | — |
| WeirdML | 43.7% | — |
| LiveBench Coding | 82.7% | — |
| CadEval | 54% | — |
Agentic & Tool Use o3-mini leads
o3-mini: 29.6 (#84), Qwen3.7 Plus: 21.4 (#138)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
| Cybench | 22.5% | — |
Reasoning Qwen3.7 Plus leads
o3-mini: 16.3 (#305), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| CritPt | 0.3% | 9.1% |
| Chess Puzzles | 17% | 24% |
| LMArena Hard Prompts | 1366 | 1460 |
| Mystery Game Puzzles | 7% | 17% |
| DTBench | 68.8% | 84% |
| LMCA | 19% | 37.6% |
| Epoch Capabilities Index | 140.34 | 147.37 |
| ARC-AGI-2 | 3% | — |
| SimpleBench | 22.8% | — |
| NYT Connections (extended) | — | 74.8% |
| ARC-AGI-1 | 34.5% | — |
| LiveBench Reasoning | 89.6% | — |
| LiveBench Data Analysis | 70.6% | — |
| ForecastBench | 59.6 | — |
| LiveBench | 75.9% | — |
Math Qwen3.7 Plus leads
o3-mini: 28.1 (#244), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | 18.6% | 34.4% |
| OTIS Mock AIME 2024-2025 | 76.9% | 93.3% |
| LMArena Math | 1396 | 1466 |
| FrontierMath Tier 4 | 0% | — |
| LiveBench Math | 77.3% | — |
| MATH Level 5 | 96.5% | — |
| FrontierMath (Feb 2025 set) | 12.4% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Qwen3.7 Plus leads
o3-mini: 38.3 (#146), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 77% | 87.9% |
| LMArena Expert | 1364 | 1467 |
| SimpleQA Verified | 15.3% | — |
| Confabulations | 17.9% | — |
Multimodal Not comparable
o3-mini: —, Qwen3.7 Plus: 41.8 (#33)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1279 |
| LMArena Document | — | 1444 |
Multilingual Qwen3.7 Plus leads
o3-mini: 45.7 (#164), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1319 | 1445 |
| LMArena Chinese | 1379 | 1510 |
| LMArena French | 1334 | 1473 |
| LMArena German | 1303 | 1471 |
| LMArena Japanese | 1286 | 1413 |
| LMArena Korean | 1314 | 1415 |
| LMArena Russian | 1304 | 1457 |
| LMArena Spanish | 1321 | 1457 |
Instruction Following Too close to call
o3-mini: 75.1 (#72), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1337 | 1440 |
| LiveBench Instruction Following | 84.4% | — |
Long Context Qwen3.7 Plus leads
o3-mini: 33.8 (#256), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1343 | 1455 |
| Fiction.LiveBench | 50% | — |
Writing & Preference Qwen3.7 Plus leads
o3-mini: 50.3 (#182), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | o3-mini | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1337 | 1455 |
| LMArena Creative Writing | 1286 | 1439 |
| LMArena Multi-Turn | 1320 | 1460 |
| Short-Story Creative Writing | 61.7% | — |
| LiveBench Language | 50.7% | — |
Frequently asked questions
Is o3-mini better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 36.7 on the Noometry Index.
Which is cheaper, o3-mini or Qwen3.7 Plus?
Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; o3-mini lists at $1.10 and $4.40.
Is o3-mini or Qwen3.7 Plus better for coding?
o3-mini scores higher on coding benchmarks: 40.8 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Plus does, with 1M tokens against 200K.
How many benchmarks do o3-mini and Qwen3.7 Plus share?
27 benchmarks have published results for both models. o3-mini has 51 scored results on Noometry and Qwen3.7 Plus has 32.