Model comparison
o1-pro vs Qwen2.5-VL 72B Instruct
o1-pro is the stronger model overall, scoring 31.5 to 29.9 on the Noometry Index. Qwen2.5-VL 72B Instruct costs 63× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- Qwen2.5-VL 72B Instruct is cheaper at $2.80 / $8.40 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 131K.
- Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| o1-pro | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.5 | 29.9 |
| Released | 2025-03-19 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 100K | 8K |
| Input $ / M tokens | $150 | $2.80 |
| Output $ / M tokens | $600 | $8.40 |
| Results tracked | 3 | 6 |
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Category by category
Agentic & Tool Use Not comparable
o1-pro: —, Qwen2.5-VL 72B Instruct: 18.6 (#144)
| Benchmark | o1-pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld | — | 5% |
Reasoning Too close to call
o1-pro: 20.4 (#239), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | o1-pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| ARC-AGI-1 | 23.3% | — |
| EnigmaEval | 6.1% | — |
Knowledge Not comparable
o1-pro: 29.7 (#234), Qwen2.5-VL 72B Instruct: —
| Benchmark | o1-pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Humanity's Last Exam | 8.1% | — |
Multimodal Not comparable
o1-pro: —, Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | o1-pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Frequently asked questions
Is o1-pro better than Qwen2.5-VL 72B Instruct?
o1-pro is the stronger model overall, scoring 31.5 to 29.9 on the Noometry Index. Qwen2.5-VL 72B Instruct costs 63× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.
Which is cheaper, o1-pro or Qwen2.5-VL 72B Instruct?
Qwen2.5-VL 72B Instruct is cheaper. It lists at $2.80 per million input tokens and $8.40 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-VL 72B Instruct share?
0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.