o3

Neural Network

OpenAI o3 is a powerful reasoning model designed to solve tasks from coding and mathematics to image analysis and web page browsing. The neural network offers more nuanced and precise answers, executes code to solve complex problems, creates visual content based on text descriptions, processes and interprets data files.

Main

Models

100 000

Max answer length

(in tokens)

200 000

Context size

(in tokens)

2 $

Prompt cost

(per 1M tokens)

8 $

Answer cost

(per 1M tokens)

0 $

Image prompt

(per 1K tokens)

Overview

Providers

API

BotHub: Try GPT Chat for Freebot

Caps remaining: 0 CAPS

Providers o3On Bothub, you can select your own providers for requests. If you haven't made a selection, we will automatically find suitable providers who can handle the size and parameters of your request.

Code example and API for o3We offer full access to the OpenAI API through our service. All our endpoints fully comply with OpenAI endpoints and can be used both with plugins and when developing your own software through the SDK.Create API key

Javascript

Python

Curl

import OpenAI from 'openai';
const openai = new OpenAI({
  apiKey: '<your bothub access token>',
  baseURL: 'https://bothub.chat/api/v2/openai/v1'
});


// Sync - Text generation 

async function main() {
  const chatCompletion = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'o3',
  });
} 

// Async - Text generation 

async function main() {
  const stream = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'o3',
    stream: true
  });

  for await (const chunk of stream) {
    const part: string | null = chunk.choices[0].delta?.content ?? null;
  }
} 

main();
import OpenAI from 'openai';
const openai = new OpenAI({
  apiKey: '<your bothub access token>',
  baseURL: 'https://bothub.chat/api/v2/openai/v1'
});


// Sync - Text generation 

async function main() {
  const chatCompletion = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'o3',
  });
} 

// Async - Text generation 

async function main() {
  const stream = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'o3',
    stream: true
  });

  for await (const chunk of stream) {
    const part: string | null = chunk.choices[0].delta?.content ?? null;
  }
} 
main();

How it works o3?

The ChatGPT o3 model uses a 'private chain of thought' mechanism that allows it to internally think through its actions before generating responses. It can interpret and reason using visual data, which expands its scope of application. With a context window of 1 million tokens, o3 can analyze a long document in a single query.