Model comparison
o1-mini vs Qwen2.5-VL 72B Instruct
o1-mini is the stronger model overall, scoring 34.0 to 29.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen2.5-VL 72B Instruct leads 20.7 to 8.8.
- Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| o1-mini | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 34.0 | 29.9 |
| Released | 2024-09-12 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $2.80 |
| Output $ / M tokens | — | $8.40 |
| Results tracked | 39 | 6 |
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Category by category
Coding Not comparable
o1-mini: 35.5 (#224), Qwen2.5-VL 72B Instruct: —
| Benchmark | o1-mini | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Aider Polyglot | 32.9% | — |
| WeirdML | 36.3% | — |
| LiveBench Coding | 48% | — |
| LMArena Coding | 1362 | — |
| HumanEval+ | 89% | — |
| MBPP+ | 78.8% | — |
Agentic & Tool Use o1-mini leads
o1-mini: 24.6 (#118), Qwen2.5-VL 72B Instruct: 18.6 (#144)
Reasoning Qwen2.5-VL 72B Instruct leads
o1-mini: 8.8 (#346), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | o1-mini | Qwen2.5-VL 72B Instruct |
|---|---|---|
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 18.1% | — |
| Kagi LLM Benchmark | — | 36% |
| ARC-AGI-1 | 14% | — |
| LiveBench Reasoning | 72.3% | — |
| LMArena Hard Prompts | 1333 | — |
| LiveBench Data Analysis | 57.9% | — |
| Epoch Capabilities Index | 135.82 | — |
| LiveBench | 57.8% | — |
Math Not comparable
o1-mini: 35.4 (#186), Qwen2.5-VL 72B Instruct: —
| Benchmark | o1-mini | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 46.9% | — |
| LiveBench Math | 62% | — |
| LMArena Math | 1358 | — |
| MATH Level 5 | 89.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Not comparable
o1-mini: 34.9 (#192), Qwen2.5-VL 72B Instruct: —
| Benchmark | o1-mini | Qwen2.5-VL 72B Instruct |
|---|---|---|
| GPQA Diamond | 62.4% | — |
| Confabulations | 18.6% | — |
| LMArena Expert | 1316 | — |
Multimodal Not comparable
o1-mini: —, Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | o1-mini | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
o1-mini: 43.6 (#182), Qwen2.5-VL 72B Instruct: —
| Benchmark | o1-mini | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Non-English | 1289 | — |
| LMArena Chinese | 1314 | — |
| LMArena French | 1293 | — |
| LMArena German | 1278 | — |
| LMArena Japanese | 1245 | — |
| LMArena Korean | 1223 | — |
| LMArena Russian | 1283 | — |
| LMArena Spanish | 1303 | — |
Instruction Following Not comparable
o1-mini: 66.7 (#206), Qwen2.5-VL 72B Instruct: —
| Benchmark | o1-mini | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LiveBench Instruction Following | 65.4% | — |
| LMArena Instruction Following | 1304 | — |
Long Context Not comparable
o1-mini: 40.1 (#161), Qwen2.5-VL 72B Instruct: —
| Benchmark | o1-mini | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1320 | — |
Writing & Preference Not comparable
o1-mini: 48.4 (#202), Qwen2.5-VL 72B Instruct: —
| Benchmark | o1-mini | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1317 | — |
| LMArena Creative Writing | 1244 | — |
| Short-Story Creative Writing | 64.9% | — |
| LMArena Multi-Turn | 1314 | — |
| LiveBench Language | 40.9% | — |
Frequently asked questions
Is o1-mini better than Qwen2.5-VL 72B Instruct?
o1-mini is the stronger model overall, scoring 34.0 to 29.9 on the Noometry Index.
How many benchmarks do o1-mini and Qwen2.5-VL 72B Instruct share?
0 benchmarks have published results for both models. o1-mini has 39 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.