o1-pro vs Magnum v4 72B
Magnum v4 72B is 84× cheaper than o1-pro on a blended basis. o1-pro has the larger context window at 200K tokens.
Side by side
Green marks the better value in each row where a comparison is meaningful.
| Attribute | o1-pro | Magnum v4 72B |
|---|---|---|
| Provider | OpenAI | Magnum v4 72B |
| Input / 1M tokens | $150 | $2.50 |
| Output / 1M tokens | $600 | $5.00 |
| Blended / 1M tokens | $263 | $3.13 |
| Cached input / 1M | - | - |
| Context window | 200K | 33K |
| Max output | 100K | 4K |
| Input modalities | text, image, file | text |
| Reasoning | Yes | No |
| Tool calling | No | No |
| Structured output | Yes | Yes |
| Prompt caching | No | No |
| Open weights | No | Yes |
| Knowledge cutoff | 2023-10-31 | 2024-06-30 |
| Released | March 19, 2025 | October 22, 2024 |
Frequently asked
Is o1-pro or Magnum v4 72B cheaper?
Magnum v4 72B is 84× cheaper than o1-pro on a blended basis.
What is the price difference between o1-pro and Magnum v4 72B?
o1-pro costs $150 per million input tokens and $600 per million output tokens. Magnum v4 72B costs $2.50 and $5.00 respectively.
Which has the larger context window, o1-pro or Magnum v4 72B?
o1-pro, at 200K tokens versus 33K.