o3-pro vs o1-pro
Too close to call on our weighted score (o3-pro 27, o1-pro 27). The right pick depends on what you value most.
Too close to call
It is close. Our weighted score puts them within a point (o3-pro 27/100, o1-pro 27/100), so choose by what matters most for your work: o3-pro on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceo3-proo3-pro $35.00 · o1-pro $262.50 per 1M tokens (3:1 blend)
- Longest contextAbout the sameo3-pro 200,000 · o1-pro 200,000 tokens
- Widest inputsSame inputso3-pro: Text, Images · o1-pro: Text, Images
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | o3-pro | o1-pro |
|---|---|---|---|
| Price | 50% | 0 | 0 |
| Inputs & features | 30% | 70 | 70 |
| Context window | 20% | 32 | 32 |
| Overall | 100% | 27/100 | 27/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification |  o3-proOpenAI | o1-proOpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 147.4 | — |
| ECI rank | #60 of 148 | — |
| Price per million tokens | ||
| Input | $20.00 (best) | $150.00 |
| Output | $80.00 (best) | $600.00 |
| Cached input | — | — |
| Blended (3:1) | $35.00 (best) | $262.50 |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official OpenAI API |
| Limits | ||
| Context window | 200,000 tokens | 200,000 tokens |
| Max output | 100,000 tokens | 100,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high | Yeslow · medium · high |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | o3-pro | o1-pro |
| API providers | 6 (best) | 5 |
| Released | Jun 10, 2025 | Mar 19, 2025 |
| Knowledge cutoff | May 2024 | Sep 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- o3-pro$360.00
- o1-pro$2,700
Which should you choose?
Which is better: o3-pro or o1-pro?
It is close. Our weighted score puts them within a point (o3-pro 27/100, o1-pro 27/100), so choose by what matters most for your work: o3-pro on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, o3-pro or o1-pro?
o3-pro is cheaper at $20.00 input / $80.00 output per million tokens (official OpenAI API price). o1-pro costs $150.00 input / $600.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $35.00 per million tokens for o3-pro versus $262.50 for o1-pro (7.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. o3-pro has an ECI of 147.4 and o1-pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for o3-pro and o1-pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
o3-pro and o1-pro share the same 200,000-token context window. Maximum output per response: o3-pro up to 100,000, o1-pro up to 100,000 tokens.
Which can read images, PDFs, audio or video?
o3-pro accepts text and images; o1-pro accepts text and images. They handle the same number of input types.
Are any of these open source?
No. o3-pro and o1-pro are proprietary and only available through APIs and apps.
Which is newer?
o3-pro is the newest, released Jun 10, 2025. o1-pro came out Mar 19, 2025. Knowledge cutoff: o3-pro May 2024, o1-pro Sep 2023.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
