Technical Specifications of o3
| Specification | Details |
|---|---|
| Model ID | o3 |
| Provider | OpenAI |
| Model type | Reasoning model |
| Input modalities | Text, image |
| Output modalities | Text |
| Context window | 200,000 tokens |
| Max output tokens | 100,000 tokens |
| Knowledge cutoff | June 1, 2024 |
| API availability | Available through the Responses API |
| Best suited for | Complex reasoning, math, science, coding, visual reasoning, and technical writing |
What is o3?
o3 is an artificial intelligence model provided by OpenAI. It is a reasoning-focused model designed for complex, multi-step problem solving across text, code, and image-based inputs. OpenAI describes it as a well-rounded model that performs strongly in domains such as mathematics, science, coding, visual reasoning, and instruction-following.
On CometAPI, the model is accessed using the platform model identifier o3. If you are integrating this model into your application, workflow, or internal tooling, use o3 exactly as the model name in your API requests.
Main features of o3
- Advanced reasoning: Built for multi-step analysis and decision-making, making it suitable for tasks that require deeper logical processing rather than only surface-level text generation.
- Multimodal input support: Accepts both text and image inputs, which is useful for workflows involving screenshots, diagrams, charts, documents, or mixed-format prompts.
- Text output generation: Returns text outputs that can be used for explanations, summaries, problem solving, technical writing, and structured responses.
- Large context window: Supports up to 200,000 tokens of context, enabling it to work with long conversations, large documents, extensive codebases, or multi-part instructions.
- High output capacity: Can generate up to 100,000 output tokens, which helps for long-form answers, detailed reports, and extended reasoning tasks.
- Strong STEM and coding performance: Especially useful for mathematics, scientific analysis, software development, debugging, and other logic-intensive use cases.
- Visual reasoning capability: Can reason over image inputs in addition to text, helping with interpretation of visual materials and mixed-modal tasks.
- Instruction following: Performs well on structured prompts and detailed task requirements, which is important for production use cases and predictable integrations.
How to access and integrate o3
Step 1: Sign Up for API Key
To start using the o3 API, first sign up for an API key on the CometAPI platform. After registration, you will receive your developer credentials, which you can use to authenticate requests and manage usage across supported AI models.
Step 2: Send Requests to o3 API
Once you have your API key, send requests to CometAPI’s compatible API endpoint while setting the model field to o3.
curl https://api.cometapi.com/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_COMETAPI_KEY" \
-d '{
"model": "o3",
"input": "Explain the main advantages of reasoning models in production applications."
}'
You can also integrate o3 from common server-side environments such as Python, Node.js, or any framework that can make standard HTTPS requests to a JSON API.
Step 3: Retrieve and Verify Results
After sending your request, CometAPI will return the model’s generated response. You can then parse the output in your application, display it to users, store it for later workflows, or run additional validation checks based on your business logic. For production deployments, it is recommended to verify response quality, formatting, and task accuracy before using the result in user-facing or automated systems.
