AI model comparison
o1-pro vs GPT-4o (2024-08-06)
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning.
- Input / 1M
- $150
- Output / 1M
- $600
- Context
- 200K
OpenAI
GPT-4o (2024-08-06)
The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/).
- Input / 1M
- $2.50
- Output / 1M
- $10
- Context
- 128K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-4o (2024-08-06)
60x cheaper for a typical chat
Higher intelligence score
o1-pro
12.4 vs 7.7 on Artificial Analysis
Larger context window
o1-pro
200K vs 128K tokens
Newer release
o1-pro
Released March 19, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
o1-pro vs GPT-4o (2024-08-06) API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $150 | $2.50 |
| Output tokensPer 1M tokens | $600 | $10 |
| Cached input (read)Per 1M tokens | Not available | $1.25 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | $0.01 | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 200K tokens | 128K tokens |
| Max output | 100K tokens | 16K tokens |
| Input types | File, Image, Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | March 19, 2025 | August 6, 2024 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Not supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
GPT-4o (2024-08-06) is 60x cheaper for a typical chat. o1-pro scores higher on the Artificial Analysis Intelligence Index (12.4 vs 7.7). o1-pro has the larger context window (200K vs 128K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is o1-pro or GPT-4o (2024-08-06) cheaper?
GPT-4o (2024-08-06) is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-4o (2024-08-06) costs $2.50 per 1M input tokens and $10 per 1M output tokens, while o1-pro costs $150 per 1M input tokens and $600 per 1M output tokens.
Which has a bigger context window, o1-pro or GPT-4o (2024-08-06)?
o1-pro supports up to 200K tokens of context, compared with 128K for GPT-4o (2024-08-06).
Is o1-pro smarter than GPT-4o (2024-08-06)?
On the Artificial Analysis Intelligence Index, o1-pro scores 12.4 and GPT-4o (2024-08-06) scores 7.7, putting o1-pro ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use o1-pro and GPT-4o (2024-08-06) at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see o1-pro and GPT-4o (2024-08-06) answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to o1-pro and GPT-4o (2024-08-06) at the same time. Compare the answers side by side and keep the best one.