Technical Specifications of o1-preview-all
| Attribute | Details |
|---|---|
| Model ID | o1-preview-all |
| Provider family | OpenAI o1 series reasoning model, exposed through CometAPI under the aggregated identifier o1-preview-all. |
| Model type | Text-based reasoning LLM optimized for complex, multi-step problem solving. |
| Primary strength | Deliberate reasoning before answering, especially for math, coding, science, and analytical workflows. |
| Context window | Commonly documented at 128K tokens for o1-preview. |
| Max output | Commonly reported around 32K–33K output tokens for o1-preview. |
| API positioning | Research-preview reasoning model that preceded the production o1 release. |
| Best-fit use cases | Hard reasoning, structured analysis, code generation, technical Q&A, and tasks where accuracy matters more than raw speed. |
| Access path | Available through CometAPI’s unified API layer, which lets developers call the model through a standard OpenAI-compatible workflow. (cometapi.com) |
What is o1-preview-all?
o1-preview-all is CometAPI’s platform identifier for access to the OpenAI o1-preview reasoning model family through a unified API layer. The underlying model was introduced as a preview of OpenAI’s early o-series reasoning systems, designed to spend more computation on internal deliberation before producing an answer.
Compared with conventional chat models that prioritize fast conversational responses, o1-preview was positioned for tasks that benefit from stepwise thinking, such as advanced mathematics, coding, scientific analysis, planning, and other multi-hop inference problems. OpenAI describes the model as a reasoning model trained to handle complex tasks, while CometAPI presents it as an API-accessible option for developers who want stronger logical performance in production workflows.
In practice, o1-preview-all is best understood as a higher-reasoning text model endpoint for teams that want to route difficult prompts through a stronger analytical model without integrating directly with each upstream provider separately. That is an inference based on CometAPI’s aggregator design plus OpenAI’s description of o1-preview as a reasoning-focused model. (cometapi.com)
Main features of o1-preview-all
- Advanced reasoning: Built for problems that require multi-step thinking rather than simple pattern completion, making it suitable for logic-heavy prompts and analytical workflows.
- Strong performance on technical tasks: Particularly useful for coding, mathematics, science, and other domains where intermediate reasoning quality strongly affects final output quality.
- Long-context handling: Publicly reported specifications for
o1-previewindicate support for a large context window, enabling longer prompts, richer instructions, and larger working memory during reasoning tasks. - Research-preview lineage: The model comes from OpenAI’s preview-stage reasoning line, which makes it notable for experimentation and advanced use cases that value frontier capability over lowest-latency responses.
- Unified API access through CometAPI: Developers can reach the model through CometAPI’s aggregated interface instead of managing separate upstream integrations, simplifying multi-model deployment patterns. (cometapi.com)
- Good fit for verification-heavy workflows: Because the model is optimized for complex reasoning, it is a strong candidate for tasks like solution drafting, code review, structured analysis, and difficult question answering where outputs should later be checked against requirements or source material. This is an inference from the model’s documented reasoning focus.
How to access and integrate o1-preview-all
Step 1: Sign Up for API Key
Sign up on CometAPI and generate your API key from the dashboard. Once you have an active key, you can use it to authenticate requests to the o1-preview-all endpoint through CometAPI’s OpenAI-compatible API. (cometapi.com)
Step 2: Send Requests to o1-preview-all API
Use CometAPI’s compatible chat completion interface and set the model field to o1-preview-all.
curl https://api.cometapi.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $COMETAPI_API_KEY" \
-d '{
"model": "o1-preview-all",
"messages": [
{
"role": "user",
"content": "Solve this step by step: write a Python function that checks whether a graph has a cycle."
}
]
}'
Step 3: Retrieve and Verify Results
Parse the response JSON, read the assistant message, and validate the output against your task requirements. For o1-preview-all, verification is especially important in production use: test reasoning quality on representative prompts, check code before execution, and benchmark latency and token usage for your workload. These integration recommendations follow from the model’s reasoning-oriented design and preview positioning.