Extended Reasoning
The model spends additional compute time reflecting before responding, allowing it to work through multi-step problems and catch errors that faster inference would miss.
OpenAI
o1-pro
o1-pro is a text generation model developed by OpenAI and released in December 2024. It is built on the same foundation as the o1 model family but allocates significantly more compute and longer reflection time per query, which allows it to work through multi-step problems more carefully before producing a response. It supports a 200,000-token context window and can generate up to 100,000 tokens in a single output, and it accepts both text and image inputs. The model is designed for tasks where accuracy on difficult problems takes priority over response speed. It performs well on advanced mathematics, scientific reasoning, and complex coding challenges, with benchmark scores including 94.8% on MATH, 92.4% on HumanEval, and 77.3% on GPQA. o1-pro was initially available exclusively through the ChatGPT Pro subscription plan before becoming accessible via the OpenAI API in March 2025.
Mar 19, 2025
200,000 context
100,000 tokens output
Extended Reasoning
Large Context Window
High Output Capacity
Image Input
Advanced Math Solving
Code Generation
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
OpenAI
Model ID
The routed model identifier exposed by upstream providers.
openai/o1-pro
Input Context Window
The number of tokens supported by the input context window.
200,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
100,000 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Mar 19, 2025
1 year ago
Knowledge Cut-off Date
When the model's knowledge was last updated.
2023-10-31
API Providers
The providers that offer this model. This is not an exhaustive list.
OpenAI
Modalities
Types of data this model can process.
Text
Image
File
What is o1-pro
A fuller summary of positioning, capabilities, and source-specific details for o1-pro.
o1-pro is a text generation model developed by OpenAI and released in December 2024. It is built on the same foundation as the o1 model family but allocates significantly more compute and longer reflection time per query, which allows it to work through multi-step problems more carefully before producing a response. It supports a 200,000-token context window and can generate up to 100,000 tokens in a single output, and it accepts both text and image inputs.
The model is designed for tasks where accuracy on difficult problems takes priority over response speed. It performs well on advanced mathematics, scientific reasoning, and complex coding challenges, with benchmark scores including 94.8% on MATH, 92.4% on HumanEval, and 77.3% on GPQA. o1-pro was initially available exclusively through the ChatGPT Pro subscription plan before becoming accessible via the OpenAI API in March 2025.
Capabilities
What o1-pro supports
Large Context Window
Supports up to 200,000 tokens of input, equivalent to roughly 300 pages of text, making it suitable for long documents and large codebases.
High Output Capacity
Can generate up to 100,000 tokens in a single response, enabling detailed, long-form answers to complex queries.
Image Input
Accepts image inputs alongside text prompts, outputting detailed text responses based on visual and written context.
Advanced Math Solving
Achieves 94.8% pass@1 on the MATH benchmark, reflecting strong performance on graduate-level and competition mathematics.
Code Generation
Scores 92.4% on HumanEval, demonstrating reliable ability to write, analyze, and debug code across programming tasks.
Scientific Reasoning
Scores 77.3% on GPQA, a benchmark of graduate-level questions in biology, chemistry, and physics.
Pricing for o1-pro
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$150.00
Per million tokens
Output tokens
$600.00
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
maxTemperature
1
maxResponseSize
100,000 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
OpenAI
Provider Endpoints
Endpoint-level provider data currently available for this model.
OpenAI
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Announcement Blog Post
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Model Details
Other
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Performance Analysis
Other
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OpenAI API Documentation
Documentation
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OpenAI Models Overview
Documentation
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OpenAI Playground
Playground
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Official Website
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Usage Policies
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Enterprise privacy at OpenAI
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OpenAI Status Page
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OpenRouter Model Page
OpenRouter
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Community discussion
What people think about o1-pro
o1-pro discussions are most active in r/OpenAI, r/singularity, r/ChatGPT. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions, coding workflow discussions.
The strongest match in this snapshot has 3199 upvotes and 517 comments.
After seeing all the hype about o1 Pro's release, I decided to do an extensive comparison. The results were surprising, and I wanted to share my findings with the community.
Testing Methodology I ran both models through identical scenarios, focusing on real-world applications rather than just benchmarks. Each test was repeated multiple times to ensure consistency.
Key Findings
1. Complex Reasoning \* Winner: o1 Pro (but the margin is smaller than you'd expect) \* Takes 20-30 seconds longer for responses \* Claude Sonnet 3.5 achieves 90% accuracy in significantly less time
2. Code Generation \* Winner: Claude Sonnet 3.5 \* Cleaner, more maintainable code \* Better documentation \* o1 Pro tends to overengineer solutions
3. Advanced Mathematics \* Winner: o1 Pro \* Excels at PhD-level problems \* Claude Sonnet 3.5 handles 95% of practical math tasks perfectly
4. Vision Analysis \* Winner: o1 Pro \* Detailed image interpretation \* Claude Sonnet 3.5 doesn't have advanced vision capabilities yet
5. Scientific Reasoning \* Tie \* o1 Pro: deeper analysis \* Claude Sonnet 3.5: clearer explanations
Value Proposition Breakdown
o1 Pro ($200/month): \* Superior at PhD-level tasks \* Vision capabilities \* Deeper reasoning \* That extra 5-10% accuracy in complex tasks
Claude Sonnet 3.5 ($20/month): \* Faster responses \* More consistent performance \* Superior coding assistance \* Handles 90-95% of tasks just as well
Interesting Observations \* The response time difference is noticeable - o1 Pro often takes 20-30 seconds to "think" \* Claude Sonnet 3.5's coding abilities are surprisingly superior \* The price-to-performance ratio heavily favors Claude Sonnet 3.5 for most use cases
Should You Pay 10x More?
For most users, probably not. Here's why:
1. The performance gap isn't nearly as wide as the price difference
2. Claude Sonnet 3.5 handles most practical tasks exceptionally well
3. The extra capabilities of o1 Pro are mainly beneficial for specialized academic or research work
Who Should Use Each Model?
Choose o1 Pro if: \* You need vision capabilities \* You work with PhD-level mathematical/scientific content \* That extra 5-10% accuracy is crucial for your work \* Budget isn't a primary concern
Choose Claude Sonnet 3.5 if: \* You need reliable, fast responses \* You do a lot of coding \* You want the best value for money \* You need clear, practical solutions
Unless you specifically need vision capabilities or that extra 5-10% accuracy for specialized tasks, Claude Sonnet 3.5 at $20/month provides better value for most users than o1 Pro at $200/month.
Let's test this model!
After seeing all the hype about o1 Pro's release, I decided to do an extensive comparison. The results were surprising, and I wanted to share my findings with the community.
Testing Methodology I ran both models through identical scenarios, focusing on real-world applications rather than just benchmarks. Each test was repeated multiple times to ensure consistency.
Key Findings
1. Complex Reasoning \* Winner: o1 Pro (but the margin is smaller than you'd expect) \* Takes 20-30 seconds longer for responses \* Claude Sonnet 3.5 achieves 90% accuracy in significantly less time
2. Code Generation \* Winner: Claude Sonnet 3.5 \* Cleaner, more maintainable code \* Better documentation \* o1 Pro tends to overengineer solutions
3. Advanced Mathematics \* Winner: o1 Pro \* Excels at PhD-level problems \* Claude Sonnet 3.5 handles 95% of practical math tasks perfectly
4. Vision Analysis \* Winner: o1 Pro \* Detailed image interpretation \* Claude Sonnet 3.5 doesn't have advanced vision capabilities yet
5. Scientific Reasoning \* Tie \* o1 Pro: deeper analysis \* Claude Sonnet 3.5: clearer explanations
Value Proposition Breakdown
o1 Pro ($200/month): \* Superior at PhD-level tasks \* Vision capabilities \* Deeper reasoning \* That extra 5-10% accuracy in complex tasks
Claude Sonnet 3.5 ($20/month): \* Faster responses \* More consistent performance \* Superior coding assistance \* Handles 90-95% of tasks just as well
Interesting Observations \* The response time difference is noticeable - o1 Pro often takes 20-30 seconds to "think" \* Claude Sonnet 3.5's coding abilities are surprisingly superior \* The price-to-performance ratio heavily favors Claude Sonnet 3.5 for most use cases
Should You Pay 10x More?
For most users, probably not. Here's why:
1. The performance gap isn't nearly as wide as the price difference
2. Claude Sonnet 3.5 handles most practical tasks exceptionally well
3. The extra capabilities of o1 Pro are mainly beneficial for specialized academic or research work
Who Should Use Each Model?
Choose o1 Pro if: \* You need vision capabilities \* You work with PhD-level mathematical/scientific content \* That extra 5-10% accuracy is crucial for your work \* Budget isn't a primary concern
Choose Claude Sonnet 3.5 if: \* You need reliable, fast responses \* You do a lot of coding \* You want the best value for money \* You need clear, practical solutions
Unless you specifically need vision capabilities or that extra 5-10% accuracy for specialized tasks, Claude Sonnet 3.5 at $20/month provides better value for most users than o1 Pro at $200/month.
FAQ
Common questions about o1-pro
What is the context window for o1-pro?
o1-pro supports a context window of 200,000 tokens for input, which is roughly equivalent to 300 pages of text.
How much does o1-pro cost to use via the API?
As of its API release in March 2025, o1-pro is priced at $150 per million input tokens and $600 per million output tokens, making it one of the higher-priced models in OpenAI's API catalog.
What is the knowledge cutoff date for o1-pro?
o1-pro was released in December 2024. OpenAI has indicated the o1 model family has a knowledge cutoff of October 2023.
How does o1-pro differ from the standard o1 model?
o1-pro uses more compute and longer reflection time per query compared to the standard o1 model. This is intended to produce more accurate and reliable answers on complex tasks, at the cost of slower response times and higher pricing.
What types of inputs does o1-pro accept?
o1-pro accepts both text and image inputs and returns text outputs. It does not generate images or audio.
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