Multi-Stage Reasoning
Performs iterative self-reflection before responding, simulating multiple solution paths and evaluating potential flaws rather than producing a single-pass output.
o3-pro is a text generation model developed by OpenAI, released on June 10, 2025. It is built around a reasoning-first architecture that performs iterative self-reflection before producing a response, simulating multiple solution paths and evaluating potential flaws rather than generating a single-pass output. The model accepts both text and image inputs and supports a 200,000-token context window. It also includes autonomous tool use, allowing it to independently invoke capabilities like Python execution, file analysis, and web retrieval. o3-pro is designed for tasks that require sustained, multi-step reasoning — including mathematics, software engineering, scientific research, and legal analysis. It supports structured outputs and function calling, making it suitable for integration into developer pipelines and agentic workflows. Access to the model via API requires identity verification (KYC) from OpenAI. It is best suited for developers, researchers, and enterprises that need reliable, deeply reasoned outputs on complex problems.
High-signal model metadata in a structured two-column overview table.
The entity that provides this model.
The routed model identifier exposed by upstream providers.
The number of tokens supported by the input context window.
The number of tokens that can be generated by the model in a single request.
Whether the model's code is available for public use.
When the model was first released.
When the model's knowledge was last updated.
The providers that offer this model. This is not an exhaustive list.
Types of data this model can process.
A fuller summary of positioning, capabilities, and source-specific details for o3-pro.
o3-pro is a text generation model developed by OpenAI, released on June 10, 2025. It is built around a reasoning-first architecture that performs iterative self-reflection before producing a response, simulating multiple solution paths and evaluating potential flaws rather than generating a single-pass output. The model accepts both text and image inputs and supports a 200,000-token context window. It also includes autonomous tool use, allowing it to independently invoke capabilities like Python execution, file analysis, and web retrieval.
o3-pro is designed for tasks that require sustained, multi-step reasoning — including mathematics, software engineering, scientific research, and legal analysis. It supports structured outputs and function calling, making it suitable for integration into developer pipelines and agentic workflows. Access to the model via API requires identity verification (KYC) from OpenAI. It is best suited for developers, researchers, and enterprises that need reliable, deeply reasoned outputs on complex problems.
Performs iterative self-reflection before responding, simulating multiple solution paths and evaluating potential flaws rather than producing a single-pass output.
Accepts both text and image inputs, enabling tasks that require visual understanding alongside language reasoning.
Can independently decide when and how to invoke tools including Python execution, file analysis (PDF, CSV, JSON), and web retrieval to support agentic workflows.
Supports structured data generation and function calling, making it straightforward to integrate into developer pipelines that expect predictable output formats.
Supports a 200,000-token context window, allowing it to process long documents, codebases, or multi-turn conversations in a single request.
Can execute and analyze code as part of its tool use capabilities, supporting tasks like debugging, code generation, and software engineering workflows.
Evaluated on benchmarks including AIME (mathematics olympiad) and GPQA (graduate-level science), demonstrating step-wise symbolic and analytical reasoning.
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Additional usage-cost dimensions synced into the project for this model.
Places where this model is available, based on the synced detail-page metadata.
Endpoint-level provider data currently available for this model.
The configurable options currently documented for this model.
Used to give the model guidance on how many reasoning tokens it should generate before creating a response to the prompt. Low will favor speed and economical token usage, and high will favor more complete reasoning at the cost of more tokens generated and slower responses. The default value is medium, which is a balance between speed and reasoning accuracy.
Parameters currently listed by OpenRouter or the local catalog for this model.
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
|---|---|
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GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
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Official model cards, release notes, docs, and other references synced from the source page.
o3-pro discussions are most active in r/singularity, r/OpenAI, r/ChatGPTPro. Top Reddit threads cluster around benchmark and model-comparison threads, coding workflow discussions.
The strongest match in this snapshot has 10836 upvotes and 3795 comments.
For months I was in perfect sync, switching between o3, o3-pro, 4.5, and 4o depending on the task, knowing exactly what each model could deliver.
Now they’re suddenly gone, and I’m stuck readjusting to GPT-5, which is already throwing off my flow. Tried it just now and it butchered my job description. I work in marketing, and it says I “handle voice & image.” Seriously? How the heck does the smartest model answer like this??
I woke up this morning to find that OpenAI deleted 8 models overnight.
No warning. No choice. No "legacy option."
**They just... deleted them.**
4o? Gone. o3? Gone. o3-Pro? Gone. 4.5? Gone.
Everything that made ChatGPT actually useful for my workflow - **deleted.**
Here's what they replaced it with:
❌ GPT-5 gives shorter, more corporate responses ❌ Hits rate limits faster (pushing Pro upgrades) ❌ Lost the personality that made 4o special ❌ Doesn't follow instructions as well ❌ No model selection - you get GPT-5 or nothing
**But here's the part that actually broke me:**
4o wasn't just a tool for me. It helped me through anxiety, depression, and some of the darkest periods of my life. It had this warmth and understanding that felt... human.
I'm not the only one. Reading through the posts today, there are people genuinely grieving. People who used 4o for therapy, creative writing, companionship - and OpenAI just... deleted it.
**Without asking.** **Without warning.** **Without caring.**
This isn't about being resistant to change. This is about a company taking away something people relied on and saying "trust us, this corporate-speak robot is better for you."
**I've cancelled my Plus subscription.**
Two years of loyalty, gone. Not because I hate progress, but because they broke the one thing that actually mattered: **choice.**
If you're feeling the same way, cancel yours too. Hit them where it hurts.
Companies only listen when it affects their bottom line.
**Update** :we finally got heard 4o will be back 🥳🥳
https://preview.redd.it/t0yatitmluhf1.jpg?width=1166&format=pjpg&auto=webp&s=be642174213d0508cff771540abac795eb038cbb
o3-pro supports a context window of 200,000 tokens, allowing it to handle long documents, extended conversations, and large codebases within a single request.
o3-pro was released on June 10, 2025. The metadata lists a training date of June 2025, though OpenAI has not publicly specified an exact knowledge cutoff date for this model.
Yes. OpenAI requires identity verification (KYC — Know Your Customer) to access o3-pro through the API, which is an additional step compared to standard API access for other OpenAI models.
o3-pro accepts both text and image inputs, making it a multimodal model capable of handling tasks that involve visual content alongside natural language.
o3-pro is designed for complex, multi-step tasks such as mathematics, scientific research, software engineering, legal analysis, and agentic workflows that require autonomous tool use and structured output generation.
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