Model comparison
o3-mini vs Qwen1.5-7B
o3-mini is the stronger model overall, scoring 36.7 to 31.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. o3-mini scores higher in 6 categories and Qwen1.5-7B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where o3-mini leads 75.1 to 54.1.
- Qwen1.5-7B has downloadable open weights; the other is API-only.
Side by side
| o3-mini | Qwen1.5-7B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.7 | 31.4 |
| Released | 2024-12-20 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 100K | — |
| Input $ / M tokens | $1.10 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 51 | 13 |
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Category by category
Coding o3-mini leads
o3-mini: 40.8 (#132), Qwen1.5-7B: 32.2 (#276)
| Benchmark | o3-mini | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1378 | 1107 |
| Aider Polyglot | 60.4% | — |
| SciCode | 39.8% | — |
| GSO | 1.3% | — |
| WeirdML | 43.7% | — |
| LiveBench Coding | 82.7% | — |
| CadEval | 54% | — |
Agentic & Tool Use Not comparable
o3-mini: 29.6 (#84), Qwen1.5-7B: —
| Benchmark | o3-mini | Qwen1.5-7B |
|---|---|---|
| Cybench | 22.5% | — |
Reasoning Qwen1.5-7B leads
o3-mini: 16.3 (#305), Qwen1.5-7B: 20.4 (#240)
| Benchmark | o3-mini | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1366 | 1065 |
| ARC-AGI-2 | 3% | — |
| SimpleBench | 22.8% | — |
| ARC-AGI-1 | 34.5% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | 17% | — |
| LiveBench Reasoning | 89.6% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LiveBench Data Analysis | 70.6% | — |
| LMCA | 19% | — |
| Epoch Capabilities Index | 140.34 | — |
| ForecastBench | 59.6 | — |
| LiveBench | 75.9% | — |
Math Qwen1.5-7B leads
o3-mini: 28.1 (#244), Qwen1.5-7B: 31.4 (#224)
| Benchmark | o3-mini | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1396 | 1080 |
| FrontierMath (Tiers 1-3) | 18.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 76.9% | — |
| LiveBench Math | 77.3% | — |
| MATH Level 5 | 96.5% | — |
| FrontierMath (Feb 2025 set) | 12.4% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge o3-mini leads
o3-mini: 38.3 (#146), Qwen1.5-7B: 28.7 (#243)
| Benchmark | o3-mini | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1364 | 1055 |
| GPQA Diamond | 77% | — |
| SimpleQA Verified | 15.3% | — |
| Confabulations | 17.9% | — |
| MMLU | — | 62.6% |
Multilingual o3-mini leads
o3-mini: 45.7 (#164), Qwen1.5-7B: 28.5 (#271)
| Benchmark | o3-mini | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1319 | 1058 |
| LMArena Chinese | 1379 | 1141 |
| LMArena Russian | 1304 | 1006 |
| LMArena French | 1334 | — |
| LMArena German | 1303 | — |
| LMArena Japanese | 1286 | — |
| LMArena Korean | 1314 | — |
| LMArena Spanish | 1321 | — |
Instruction Following o3-mini leads
o3-mini: 75.1 (#72), Qwen1.5-7B: 54.1 (#281)
| Benchmark | o3-mini | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1337 | 1058 |
| LiveBench Instruction Following | 84.4% | — |
Long Context Too close to call
o3-mini: 33.8 (#256), Qwen1.5-7B: 33.1 (#266)
| Benchmark | o3-mini | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1343 | 1090 |
| Fiction.LiveBench | 50% | — |
Writing & Preference o3-mini leads
o3-mini: 50.3 (#182), Qwen1.5-7B: 29.6 (#293)
| Benchmark | o3-mini | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1337 | 1083 |
| LMArena Creative Writing | 1286 | 1035 |
| LMArena Multi-Turn | 1320 | 1062 |
| Short-Story Creative Writing | 61.7% | — |
| LiveBench Language | 50.7% | — |
Frequently asked questions
Is o3-mini better than Qwen1.5-7B?
o3-mini is the stronger model overall, scoring 36.7 to 31.4 on the Noometry Index.
Is o3-mini or Qwen1.5-7B better for coding?
o3-mini scores higher on coding benchmarks: 40.8 versus 32.2 in the Noometry coding category.
How many benchmarks do o3-mini and Qwen1.5-7B share?
12 benchmarks have published results for both models. o3-mini has 51 scored results on Noometry and Qwen1.5-7B has 13.