o1-mini

o1-mini

o1-mini

by

OpenAI

Model ID:

o1-mini

Use This Model

Model Overview

FAQs

Related Links

Overview

O1 Mini is a more compact and cost-effective version of the O1 model, optimized specifically for STEM (Science, Technology, Engineering, and Mathematics) tasks. It is designed to deliver fast and efficient responses while maintaining high accuracy, making it particularly valuable for developers and engineers who need quick solutions to coding problems or mathematical equations. Despite being a smaller model, O1 Mini retains strong reasoning abilities and is approximately 80% cheaper than the O1 model. This makes it an attractive option for users who prioritize efficiency and affordability in technical domains.

Specializations

  • Specialized in STEM Reasoning: Excels in tasks requiring logical reasoning, mathematical problem-solving, and scientific understanding.

  • Cost-Effective: Offers powerful capabilities at a lower cost compared to larger models.

  • Limited Factual Knowledge: While strong in STEM, it may have limitations in non-STEM areas like history or current events.

Integration Guide (Javascript)

To use this model through Portkey, follow these steps:

1. Install Portkey SDK:

npm install --save portkey-ai

2. Set up client with Portkey:

import OpenAI from 'openai';

import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({

  apiKey: 'OPENAI_API_KEY',

  baseURL: PORTKEY_GATEWAY_URL,

  defaultHeaders: createHeaders({

    provider: "openai",

    apiKey: "PORTKEY_API_KEY"

  })

});

3. Make a request:

const chatCompletion = await openai.chat.completions.create({

  messages: [{ role: 'user', content: 'Say this is a test' }],

  model: 'o1-mini',

});

console.log(chatCompletion.choices[0].message.content);

Live API Statistics and Performace Metrics

LMSys Arena Elo Score:

1324

Arena Score

LMSys Leaderboard Rank:

2

Arena Rank

Evaluates LLMs through a combination of user feedback and automated scoring systems.

Model Specifications

Release Date:

12/9/2024

Model Variants:

o1-mini-2024-09-12

Max. Context Tokens:

128K

Max. Output Tokens:

64K

Knowledge Cut-Off Date:

October 2023

License:

Proprietary

LMSys Elo Score

1324

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