o3-pro
o3 Pro belongs to OpenAI’s o-series, which is trained with reinforcement learning to think before answering. It uses more compute than o3 to think harder and give more consistently reliable answers.
Pricing: Input 4800 credits / 1M tokens (≈ $24.00), Output 19200 credits / 1M tokens (≈ $96.00).
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o3 Pro API on ModelFold
o3 Pro belongs to OpenAI’s o-series, which is trained with reinforcement learning to think before answering. It uses more compute than o3 to think harder and give more consistently reliable answers. Try o3 Pro in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the o3 Pro API
o3 Pro at a glance
o3 Pro is a chat model from OpenAI. It accepts text, images and files (such as PDF) as input and returns text, with a context window of up to 200K tokens.
Use it without hosting anything
On ModelFold you call o3 Pro with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of o3 Pro
Up to 200K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images and files (such as PDF)
Besides text, o3 Pro accepts images and files (such as PDF) as input, so a single request can combine instructions with visual or other media.
Function calling
o3 Pro supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Reasoning mode
o3 Pro can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use o3 Pro on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how o3 Pro responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "o3-pro" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with o3 Pro
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Frequently Asked Questions
What is o3 Pro?⌄
o3 Pro belongs to OpenAI’s o-series, which is trained with reinforcement learning to think before answering. It uses more compute than o3 to think harder and give more consistently reliable answers.
Which inputs does o3 Pro support?⌄
o3 Pro accepts text, images and files (such as PDF) and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of o3 Pro?⌄
Up to 200K tokens, shared between your input and the model’s output.
Does o3 Pro support function calling?⌄
Yes. o3 Pro supports tools / function calling through the standard tools parameter of the chat completions API.
How is o3 Pro billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call o3 Pro through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "o3-pro", using your ModelFold API key as the Bearer token.
| Input | 4800 credits 1M tokens≈ $24.00 |
| Output | 19200 credits 1M tokens≈ $96.00 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"o3-pro","messages":[{"role":"user","content":"Hello"}]}'