o1-preview-2024-09-12

Technical Specifications of o1-preview-2024-09-12

What is o1-preview-2024-09-12?

o1-preview-2024-09-12 is the September 12, 2024 preview snapshot of OpenAI’s early o-series reasoning model. OpenAI introduced o1-preview as a model designed to “spend more time thinking before” responding, with a focus on harder multi-step tasks in science, coding, and math.

Unlike general-purpose chat models optimized primarily for speed and broad multimodal interaction, o1-preview was positioned as an early reasoning-focused release. OpenAI stated that these models were trained with reinforcement learning to perform complex reasoning and to refine strategies before producing an answer.

This exact identifier, o1-preview-2024-09-12, refers to the dated preview snapshot rather than the later production o1 release. OpenAI’s current model documentation explicitly marks o1-preview-2024-09-12 as deprecated, so it is best understood as a historical preview checkpoint that helped establish the o-series reasoning line.

Main features of o1-preview-2024-09-12

• Advanced reasoning focus: OpenAI introduced o1-preview specifically for complex, multi-step reasoning, especially in science, mathematics, and coding workloads.
• Long internal deliberation: OpenAI describes o1 models as thinking before answering and producing a long internal chain of thought prior to the visible response, which is a defining trait of the reasoning series.
• Large context capacity: The o1 model documentation lists a 200,000-token context window and up to 100,000 output tokens, making the family suitable for long prompts and extensive generated outputs.
• Multimodal input support: OpenAI’s model page lists text and image as supported inputs, with text as the output format.
• Research-preview positioning: At launch, OpenAI described o1-preview as an early preview and said it expected regular updates and improvements, so it was intended partly for experimentation and prototyping rather than final long-term standardization.
• Strong safety emphasis: OpenAI paired the launch with a dedicated system card and highlighted stronger performance on jailbreak resistance testing compared with GPT-4o in its announcement.
• Historically limited early API feature set: When first launched, the preview API did not include function calling, streaming, support for system messages, and certain other capabilities, which is important context for teams integrating older snapshots.
• Deprecated snapshot status: OpenAI now lists o1-preview-2024-09-12 as deprecated, so teams should treat it as a legacy model identifier on aggregator platforms and verify present-day availability before depending on it in production.

How to access and integrate o1-preview-2024-09-12

Step 1: Sign Up for API Key

To start using o1-preview-2024-09-12, first create an account on CometAPI and generate your API key from the dashboard. After logging in, store your API key securely and use it to authenticate every request to the API.

Step 2: Send Requests to o1-preview-2024-09-12 API

Once you have your API key, you can call the model through CometAPI using the standard OpenAI-compatible API format. Make sure to set the model field to o1-preview-2024-09-12.

curl https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_API_KEY" \
  -d '{
    "model": "o1-preview-2024-09-12",
    "messages": [
      {
        "role": "user",
        "content": "Explain the main strengths of this model."
      }
    ]
  }'

Step 3: Retrieve and Verify Results

After sending your request, CometAPI will return the model’s generated response in JSON format. You can parse the response text from the first choice and then validate output quality, latency, and structured behavior in your application. Because o1-preview-2024-09-12 corresponds to a deprecated preview snapshot in OpenAI’s model history, it is a good idea to verify current availability and behavior in your CometAPI workspace before deploying it in production workflows.