Model comparison
o1-pro vs Qwen2.5 72B Instruct
o1-pro and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.5 vs 31.9), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Summary
- Qwen2.5 72B Instruct is cheaper at $1.40 / $5.60 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 131K.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| o1-pro | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.5 | 31.9 |
| Released | 2025-03-19 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 100K | 8K |
| Input $ / M tokens | $150 | $1.40 |
| Output $ / M tokens | $600 | $5.60 |
| Results tracked | 3 | 43 |
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Category by category
Coding Not comparable
o1-pro: —, Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | o1-pro | Qwen2.5 72B Instruct |
|---|---|---|
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| LMArena Coding | — | 1292 |
| BigCodeBench Complete | — | 55.9% |
Agentic & Tool Use Not comparable
o1-pro: —, Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | o1-pro | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Qwen2.5 72B Instruct leads
o1-pro: 20.4 (#239), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | o1-pro | Qwen2.5 72B Instruct |
|---|---|---|
| ARC-AGI-1 | 23.3% | — |
| EnigmaEval | 6.1% | — |
| LMArena Hard Prompts | — | 1271 |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| Epoch Capabilities Index | — | 129 |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Not comparable
o1-pro: —, Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | o1-pro | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | — | 33% |
| LMArena Math | — | 1283 |
| MATH Level 5 | — | 63.2% |
Knowledge o1-pro leads
o1-pro: 29.7 (#234), Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | o1-pro | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1245 |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multilingual Not comparable
o1-pro: —, Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | o1-pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | — | 1252 |
| LMArena Chinese | — | 1272 |
| LMArena French | — | 1280 |
| LMArena German | — | 1234 |
| LMArena Japanese | — | 1180 |
| LMArena Korean | — | 1188 |
| LMArena Russian | — | 1264 |
| LMArena Spanish | — | 1256 |
Instruction Following Not comparable
o1-pro: —, Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | o1-pro | Qwen2.5 72B Instruct |
|---|---|---|
| IFEval | — | 80.6% |
| LMArena Instruction Following | — | 1254 |
Long Context Not comparable
o1-pro: —, Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | o1-pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1282 |
Writing & Preference Not comparable
o1-pro: —, Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | o1-pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | — | 1269 |
| LMArena Creative Writing | — | 1221 |
| WildBench | — | 80.2% |
| LMArena Multi-Turn | — | 1272 |
Frequently asked questions
Is o1-pro better than Qwen2.5 72B Instruct?
o1-pro and Qwen2.5 72B Instruct score almost the same on the Noometry Index (31.5 vs 31.9), so choose on price, context window or the category you care about most.
Which is cheaper, o1-pro or Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is cheaper. It lists at $1.40 per million input tokens and $5.60 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
o1-pro does, with 200K tokens against 131K.
How many benchmarks do o1-pro and Qwen2.5 72B Instruct share?
0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen2.5 72B Instruct has 43.