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OpenAI: GPT-4o (2024-11-20)

OpenAI: GPT-4o (2024-11-20)

OpenAI’s Fastest Multimodal Model for Text, Vision, Audio, and Real-Time AI Integration

Context: 128 000 tokens
Output: 16 000 tokens
Modality:
Text
Image
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FrameFrame

OpenAI’s Optimized Multimodal LLM for Real-Time, Multilingual, and Cost-Efficient API Use

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GPT-4o (2024-11-20 release) is the fully production-ready version of OpenAI’s flagship multimodal model, capable of handling text, vision, and audio with remarkable efficiency. This iteration of GPT-4o introduces enhanced alignment, faster response times, and improved cost-performance tradeoffs compared to earlier previews.

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Now available via AnyAPI.ai, this version is designed for developers, product teams, and enterprises building real-time AI applications across chat, productivity, education, and global SaaS tools.

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Key Features of GPT-4o (2024-11-20)

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Full Multimodal Capabilities (Text, Vision, Audio)

Accepts images and audio inputs alongside text - ideal for RAG, OCR tasks, voice agents, and visual reasoning.

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Low-Latency Performance (~300–600ms)

Faster than GPT-4 Turbo and earlier GPT-4o previews, enabling real-time UI and embedded app deployment.

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128k Context Window

Support for long-context tasks such as document understanding, knowledge workflows, and continuous conversations.

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Improved Instruction Following and Alignment

Handles system prompts, multi-agent logic, and JSON-formatting with higher consistency and fewer refusals.

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Multilingual Proficiency Across 30+ Languages

Includes advanced support for translation, localization, and international deployment.

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Use Cases for GPT-4o (2024-11-20)

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Multimodal Agents and AI Frontends

Use GPT-4o to process screenshots, PDFs, voice queries, and mixed inputs in customer-facing tools.

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Enterprise Knowledge Retrieval and RAG

Leverage GPT-4o for high-speed, context-aware response generation grounded in external datasets.

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Coding and Productivity Automation

Build document processors, code copilots, and structured task agents with JSON- and function-call output.

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Voice-First Interfaces

Power voice input agents, virtual tutors, and accessibility tools with audio understanding capabilities.

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Education, Compliance, and Document QA

Answer queries over dense documentation, standards, and textbooks in legal, medical, or academic settings.


Why Use GPT-4o via AnyAPI.ai

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No Vendor Lock-In with OpenAI

Use GPT-4o without OpenAI login, subscription, or quota constraints.

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Unified API Across All Major Models

Query GPT-4o alongside Claude, Gemini, Mistral, and open-weight models through a single endpoint.

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Usage-Based Pricing with Full Observability

Track token consumption, latency, and logs per request - ideal for API-based AI at scale.

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Faster Provisioning Than OpenRouter or HF Inference

Better latency and availability for production environments.

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Developer-Friendly SDKs and Docs

Get started fast with Python, JS, and REST clients backed by enterprise-grade infrastructure.

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Access GPT-4o via AnyAPI.ai and Build with Speed

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The 2024-11-20 release of GPT-4o is the most powerful and accessible version to date - ideal for developers shipping AI experiences with multimodal capability, multilingual reach, and real-time responsiveness.

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Start using GPT-4o via AnyAPI.ai today - sign up, get your API key, and launch production AI tools in minutes.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
OpenAI: GPT-4o (2024-11-20)
Context Window
128k
Multimodal
Yes
Latency
Very Fast
Strengths
RAG, vision/audio agents, production AI
Get access
Model
OpenAI: GPT-3.5 Turbo
Context Window
16k
Multimodal
No
Latency
Very fast
Strengths
Affordable, fast, ideal for lightweight apps
Get access
Model
Anthropic: Claude 4 Opus
Context Window
200k
Multimodal
No
Latency
Fast
Strengths
Deep reasoning, high alignment, long context
Get access
Model
Mistral: Mistral Large
Context Window
128k
Multimodal
No
Latency
Fast
Strengths
Open-weight, cost-efficient, customizable
Get access
Model
Google: Gemini 1.5 Pro
Context Window
1mil
Multimodal
Yes
Latency
Fast
Strengths
Visual input, long context, multilingual coding
Get access

Sample code for 

OpenAI: GPT-4o (2024-11-20)

Python
JavaScript
Curl
import requests

url = "https://api.anyapi.ai/v1/chat/completions"

payload = {
    "model": "gpt-4o-2024-11-20",
    "messages": [
        {
            "content": [
                {
                    "type": "text",
                    "text": "Hello"
                },
                {
                    "image_url": {
                        "detail": "auto",
                        "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
                    },
                    "type": "image_url"
                }
            ],
            "role": "user"
        }
    ]
}
headers = {
    "Authorization": "Bearer AnyAPI_API_KEY",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
import requests url = "https://api.anyapi.ai/v1/chat/completions" payload = { "model": "gpt-4o-2024-11-20", "messages": [ { "content": [ { "type": "text", "text": "Hello" }, { "image_url": { "detail": "auto", "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }, "type": "image_url" } ], "role": "user" } ] } headers = { "Authorization": "Bearer AnyAPI_API_KEY", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json())
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const url = 'https://api.anyapi.ai/v1/chat/completions';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'},
  body: '{"model":"gpt-4o-2024-11-20","messages":[{"content":[{"type":"text","text":"Hello"},{"image_url":{"detail":"auto","url":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"},"type":"image_url"}],"role":"user"}]}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
const url = 'https://api.anyapi.ai/v1/chat/completions'; const options = { method: 'POST', headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'}, body: '{"model":"gpt-4o-2024-11-20","messages":[{"content":[{"type":"text","text":"Hello"},{"image_url":{"detail":"auto","url":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"},"type":"image_url"}],"role":"user"}]}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); }
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Code is copied
curl --request POST \
  --url https://api.anyapi.ai/v1/chat/completions \
  --header 'Authorization: Bearer AnyAPI_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "gpt-4o-2024-11-20",
  "messages": [
    {
      "content": [
        {
          "type": "text",
          "text": "Hello"
        },
        {
          "image_url": {
            "detail": "auto",
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
          },
          "type": "image_url"
        }
      ],
      "role": "user"
    }
  ]
}'
curl --request POST \ --url https://api.anyapi.ai/v1/chat/completions \ --header 'Authorization: Bearer AnyAPI_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "model": "gpt-4o-2024-11-20", "messages": [ { "content": [ { "type": "text", "text": "Hello" }, { "image_url": { "detail": "auto", "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }, "type": "image_url" } ], "role": "user" } ] }'
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FAQs

Answers to common questions about integrating and using this AI model via AnyAPI.ai

What’s new in the 2024-11-20 release of GPT-4o?

Faster response time, full multimodal support, better JSON output handling, and improved alignment.

Is GPT-4o suitable for real-time apps?

Yes. It supports low-latency interaction in mobile, browser, and embedded deployments.

Can I use GPT-4o without OpenAI credentials?

Yes. AnyAPI.ai provides turnkey access to GPT-4o without an OpenAI account.

How does GPT-4o compare to Claude or Gemini?

GPT-4o is faster and more multimodal, especially in image+audio+text fusion.

Is GPT-4o good for RAG?

Yes. It performs well with long contexts and external grounding via vector search.

Still have questions?

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