OpenAI: o1-preview (2024-09-12)

OpenAI's o1-preview is a cutting-edge AI model designed for complex problem-solving. It excels in math, science, and programming tasks, showcasing advanced reasoning abilities. The model demonstrates PhD-level accuracy in benchmarks across various scientific fields. With a context window of 128k tokens, it can process extensive information effectively. This model is currently experimental and may have usage limits.

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "openai/o1-preview-2024-09-12",
    messages: [
      {
        "role": "user",
        "content": "Write a blog about cat."
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="openai/o1-preview-2024-09-12",
  messages=[
    {
      "role": "user",
      "content": "Write a blog about cat."
    }
  ]
)
print(completion.choices[0].message.content)

OpenAI: o1-preview (2024-09-12)

Context128000

Input$15 / M

Output$60 / M

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Description

OpenAI launched the o1-preview model on September 12, 2024. This model is a big step forward in artificial intelligence. It excels in tough reasoning tasks, especially in science and math. The o1-preview shows impressive results, often reaching PhD-level accuracy.

This model uses a special chain-of-thought method. This helps it analyze problems deeply and tackle them well. In tests, it solved 93% of AIME problems, proving its strong math skills. It even beats human experts on the GP QA benchmark.

With a context window of 128,000 tokens, the o1-preview can handle lots of information at once. This means it can give detailed answers to complex questions. It also performs well in coding tasks, ranking in the 89th percentile on Codeforces.

Moreover, the o1-preview follows safety guidelines better than older models. It scored 84 out of 100 in safety tests, which is much higher than previous versions. This makes it a powerful tool for researchers and developers, while also being a responsible AI.

Using this model gives users advanced reasoning skills that push AI boundaries. Discover what the o1-preview can do for you and enjoy better problem-solving. Don't forget to integrate this model with AIAPILAB's services for better pricing options!

Model API Use Case

The OpenAI o1-preview API is great for solving tough problems. It is very useful in many fields. One major area it helps with is scientific research. The model has shown an impressive accuracy of 75-80% in subjects like physics, chemistry, and biology. This performance beats many human experts.

In software development, o1-preview can create, debug, and improve code quickly. It ranked in the 89th percentile in coding contests, which saves a lot of time. Developers can use this tool to make complex tasks easier, boosting their work efficiency.

Additionally, the API helps with educational tools. It provides personalized tutoring for each student. The model can adjust its answers based on how fast someone learns. This ability makes it a strong helper for students working on difficult topics.

In summary, o1-preview's skills in reasoning tasks make it a game-changer in many areas. It can be used in schools and software development. For more information, check out [OpenAI's o1 model page](https://www.segmind.com/models/o1-preview).

Model Review

Pros

1. The o1-preview model excels in complex reasoning tasks, enhancing problem-solving efficiency. 2. It solves intricate math problems, achieving high accuracy on exams like the AIME. 3. The model processes vast information with a 128,000-token context window, enabling detailed responses. 4. It surpasses human experts in science benchmarks, showcasing its advanced analytical skills. 5. The o1-preview adheres to safety guidelines, ensuring responsible AI use in various applications.

Cons

1. The o1-preview model is slow, taking longer to generate responses than other models. 2. It may generate excessive output, including unnecessary explanations, wasting tokens. 3. Users face rate limits, restricting the number of queries per week and hindering productivity.

Comparison

Feature/Aspect	GPT-4o	Claude 3.5 Sonnet	OpenAI o1-preview (2024-09-12)
Context Window	Supports a context window of up to 32,768 tokens.	Limited context handling compared to o1.	Supports a large context window of up to 128,000 tokens.
Coding Competency	Strong coding abilities but slightly less effective than o1 in certain scenarios.	Competent in coding tasks, but not as high-performing as o1.	Reached the 89th percentile in coding competitions, excels at generating and debugging code.
Performance in STEM	High performance in general tasks, but lower in complex STEM compared to o1.	Effective in general tasks but not specialized for high-level STEM.	Exhibits PhD-level accuracy in physics, chemistry, and biology benchmarks.
Reasoning Capability	Strong reasoning but not as specialized in complex STEM tasks as o1.	Good reasoning ability but less effective in complex tasks compared to o1.	Advanced reasoning with a "chain of thought" approach, excels in complex problem-solving.
Safety and Alignment	Moderate safety measures, lower score in jailbreaking tests compared to o1.	Lower safety scores, more susceptible to manipulation.	Improved safety measures, scored 84 in jailbreaking tests, higher than GPT-4o.

API

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "openai/o1-preview-2024-09-12",
    messages: [
      {
        "role": "user",
        "content": "Write a blog about cat."
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="openai/o1-preview-2024-09-12",
  messages=[
    {
      "role": "user",
      "content": "Write a blog about cat."
    }
  ]
)
print(completion.choices[0].message.content)

FAQ

Q1: What is the o1-preview model?  
A1: The o1-preview model is an advanced AI designed for complex reasoning tasks.

Q2: How does o1-preview handle scientific problems?  
A2: o1-preview excels in solving scientific problems, showcasing PhD-level accuracy.

Q3: Can o1-preview assist with programming tasks?  
A3: Yes, o1-preview generates, debugs, and optimizes code efficiently.

Q4: What is the context window size for o1-preview?  
A4: The context window for o1-preview supports up to 128,000 tokens.

Q5: How can I access the o1-preview API?  
A5: Access the o1-preview API through your ChatGPT account or the API documentation.