o1-preview

Approved Data Classifications

Description

The o1-preview model from OpenAI represents a significant advancement in AI reasoning capabilities, designed to tackle complex tasks with enhanced cognitive processes. By employing techniques such as Chain of Thoughts and Self Reflection, o1-preview mimics human-like reasoning, allowing it to spend more time analyzing problems before generating responses. This approach has led to remarkable achievements, including solving 83% of problems in the American Invitational Math Examination and performing at PhD-level accuracy in STEM subjects. Unlike its predecessors, o1-preview simplifies user interaction by requiring less intricate prompt engineering, making it accessible for a broader range of applications while maintaining a focus on safety and adherence to content policies.

Capabilities

Model	Training Data	Input	Output	Context Length	Cost (per 1 million tokens)
o1-preview	May 2024	Text	Text	128,000	$15.00/1M input $60.00/1M output

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million Tokens

Availability

Cloud Provider

Usage

curl

curl -X POST https://api.ai.it.ufl.edu/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <API_TOKEN>" \
-d '{
    "model": "o1-preview",
    "messages": [
        {
            "role": "system",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user",
            "content": "Write a haiku about an Alligator."
        }
    ]
}'

python

from openai import OpenAI
  client = OpenAI(
      api_key="your_api_key",
      base_url="https://api.ai.it.ufl.edu/v1"
  )

  response = client.chat.completions.create(
      model="o1-preview", # model to send to the proxy
      messages = [
          { role: "system", content: "You are a helpful assistant." },
          {
              "role": "user",
              "content": "Write a haiku about an Alligator."
          }
      ]
  )

  print(response.choices[0].message)

javascript

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: 'your_api_key',
  baseURL: 'https://api.ai.it.ufl.edu/v1'
});

const completion = await openai.chat.completions.create({
    model: "o1-preview",
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        {
            role: "user",
            content: "Write a haiku about an Alligator.",
        },
    ],
});

print(completion.choices[0].message)

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References

1. OpenAI
   https://openai.com/
2. LLM Stats
   https://llm-stats.com
3. Artificial Analysis
   https://artificialanalysis.ai