OpenAI o1-mini Description

The o1-mini from OpenAI is an innovative and budget-friendly AI model that specializes in improved reasoning capabilities, especially in STEM areas such as mathematics and programming. As a member of the o1 series, it aims to tackle intricate challenges by allocating more time to analyze and contemplate solutions. Although it is smaller in size and costs 80% less than its counterpart, the o1-preview, the o1-mini remains highly effective in both coding assignments and mathematical reasoning. This makes it an appealing choice for developers and businesses that seek efficient and reliable AI solutions. Furthermore, its affordability does not compromise its performance, allowing a wider range of users to benefit from advanced AI technologies.

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Integrations

API:
Yes, OpenAI o1-mini has an API
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Reviews - 1 Verified Review

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Company Details

Company:
OpenAI
Year Founded:
2015
Headquarters:
United States
Website:
openai.com

Media

OpenAI o1-mini Screenshot 1
OpenAI o1-mini Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

OpenAI o1-mini Features and Options

OpenAI o1-mini Lists

OpenAI o1-mini User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Software Developer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Compact but incredible reasoning

    Date: Jan 28 2025

    Summary: OpenAI o1-mini offers a balanced blend of efficiency and performance. It's particularly well-suited for tasks that demand deep reasoning without the overhead of larger models. For developers seeking an affordable yet capable AI solution, o1-mini is a commendable option.

    Positive: I've been using OpenAI's o1-mini model, and it's impressive how it handles complex reasoning tasks, especially in mathematics and coding. Despite being a more compact version, it maintains strong performance, making it a cost-effective choice for developers. The model's design focuses on spending more time "thinking" through problems, which enhances its problem-solving capabilities.

    Negative: While o1-mini is efficient, its smaller size means it may not have the broad world knowledge that larger models possess. Additionally, it might require some fine-tuning to align with specific project needs.

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