o1-mini-all

Technical Specifications of o1-mini-all

What is o1-mini-all

o1-mini-all is CometAPI’s platform identifier for access to the OpenAI o1-mini reasoning model family through a unified API layer. CometAPI’s model catalog explicitly lists o1-mini-all, while OpenAI’s own documentation describes the underlying family as o1-mini. (cometapi.com)

The underlying o1-mini model was introduced as a cost-efficient reasoning model built for hard problems that require multi-step thought, with especially strong performance in coding, mathematics, and other STEM-heavy tasks. OpenAI positions it as a faster and cheaper reasoning alternative to larger o1-class models.

In practice, o1-mini-all is best understood as a developer-facing endpoint for applications that need stronger reasoning than general-purpose chat models, but with better speed and cost efficiency than larger premium reasoning models. That makes it a practical option for code generation, technical assistants, logic-heavy workflows, math tutoring, and internal automation systems that benefit from deliberate reasoning behavior.

Main features of o1-mini-all

• Reasoning-first design: Built for complex, multi-step problem solving rather than only fast conversational generation, making it suitable for analytical and technical tasks.
• Strong STEM performance: OpenAI highlights its capabilities in mathematics, coding, and structured technical reasoning, where it approaches stronger flagship reasoning performance on some benchmarks.
• Faster response profile: Compared with larger reasoning models, o1-mini is positioned for lower latency and quicker turnaround on hard prompts.
• Lower-cost reasoning: The model is intended to provide more affordable access to reasoning workflows, which is useful for iterative development and higher-volume API workloads.
• Useful for coding workflows: It is well suited for code explanation, debugging, algorithm design, test generation, and engineering Q&A.
• Good fit for structured outputs: Because it is optimized for deliberate reasoning, it can be effective in stepwise business logic, classification with justification, and technical decision support when prompts are clearly structured. This is an inference based on the model’s documented reasoning orientation and developer use cases.
• Aggregator-friendly access: CometAPI exposes this model through its own catalog, allowing teams to use a single integration pattern across multiple model providers. (cometapi.com)
• Version-awareness recommended: Since OpenAI has documented newer successor mini reasoning models, teams should validate ongoing support, pricing, and migration plans when adopting o1-mini-all for long-term systems.

How to access and integrate o1-mini-all

Step 1: Sign Up for API Key

Sign up on CometAPI and generate your API key from the dashboard. After obtaining the key, store it securely and use it in the Authorization header for all requests.

Step 2: Send Requests to o1-mini-all API

Use CometAPI’s OpenAI-compatible API format and specify the model as o1-mini-all.

curl --request POST \
  --url https://api.cometapi.com/v1/chat/completions \
  --header "Authorization: Bearer YOUR_COMETAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "o1-mini-all",
    "messages": [
      {
        "role": "user",
        "content": "Solve this step by step: Write a Python function for binary search."
      }
    ]
  }'

Step 3: Retrieve and Verify Results

Parse the JSON response, read the generated content from the first completion choice, and validate the output against your application requirements. For production use, add retries, logging, schema checks, and prompt-based evaluation to verify quality, reasoning accuracy, and safety before downstream use.