Technical Specifications of o1-preview
| Specification | Details |
|---|---|
| Model ID | o1-preview |
| Provider | OpenAI |
| Model type | Reasoning AI model |
| Primary modality | Text input, text output |
| Additional input support | Image input is supported in OpenAI’s model family and Responses API workflows. |
| API interface | OpenAI Responses API, with support for stateful interactions and tool-enabled workflows. |
| Instruction hierarchy | For o1 models and newer, developer messages replace legacy system-message behavior in Chat Completions-style usage. |
| Streaming support | Supported through server-sent streaming events in the Responses API. |
| Best suited for | Complex reasoning, multi-step problem solving, analysis-heavy tasks, and high-difficulty inference workflows. |
What is o1-preview?
o1-preview is an artificial intelligence model provided by OpenAI. It belongs to the o1 reasoning model family, which is designed to spend more computation on difficult problems before producing an answer. OpenAI describes the o1 series as models trained with reinforcement learning to perform complex reasoning and to “think before they answer,” making them especially suitable for tasks that require deeper analysis rather than fast lightweight generation.
In practical API usage, o1-preview can be used for advanced text generation, structured reasoning, analytical assistance, and other workflows where solution quality matters more than minimal latency. Through OpenAI’s API platform, developers can use this model inside the Responses API, which supports text and image inputs, tool use, and multi-turn stateful interactions.
Main features of o1-preview
- Advanced reasoning:
o1-previewis built for complex reasoning tasks, making it useful for multi-step logic, problem decomposition, and analytical generation. - High-quality problem solving: The model is designed to allocate more internal reasoning effort before responding, which can improve performance on difficult prompts and nuanced questions.
- Stateful API workflows: Via the Responses API, developers can build multi-turn interactions and pass prior outputs into future requests for more consistent conversations and agent-like flows.
- Tool extensibility: OpenAI’s Responses API supports built-in tools and function calling, allowing
o1-previewworkflows to connect with external systems, retrieval layers, and application logic. - Streaming responses: The model can be integrated into real-time experiences using streaming response events, which is useful for interactive applications and progressive rendering.
- Developer-oriented instruction control: In OpenAI’s newer model usage patterns, developer instructions have priority in place of older system-message semantics, which helps structure more reliable application behavior.
How to access and integrate o1-preview
Step 1: Sign Up for API Key
To use the o1-preview model through CometAPI, first create an account and generate your API key from the CometAPI dashboard. After logging in, store your API key securely and avoid exposing it in client-side code or public repositories.
Step 2: Send Requests to o1-preview API
Once you have your API key, you can send compatible OpenAI-style API requests through CometAPI by specifying the model as o1-preview.
curl https://api.cometapi.com/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $COMETAPI_API_KEY" \
-d '{
"model": "o1-preview",
"input": "Explain the main advantages of reasoning models in production applications."
}'
Step 3: Retrieve and Verify Results
After sending your request, parse the response payload and extract the generated output returned by o1-preview. You should then validate the result format, check for completeness, and, if needed, add application-side verification such as schema validation, confidence checks, retries, or human review for high-stakes use cases.