OpenAI o1-mini Description

OpenAI o1 mini is a new and cost-effective AI designed to enhance reasoning, especially in STEM fields such as mathematics and coding. It is part of the o1 Series, which focuses on solving problems by spending more "thinking" time through solutions. The o1 mini is 80% cheaper and smaller than its sibling. It performs well in coding and mathematical reasoning tasks.

Integrations

API:
Yes, OpenAI o1-mini has an API

Reviews - 1 Verified Review

Total
ease
features
design
support

Company Details

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

Media

OpenAI o1-mini Screenshot 1
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Product Details

Platforms
SaaS
Type of Training
Documentation
Customer Support
Online

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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