Name: GPT 4o 2024‑08‑06 API
Brand: OpenAI

Overview

What is GPT-4o API?

Multimodal AI model by OpenAI enhancing human-computer interaction.

Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 128,000 tokens / Max output: 16,384 tokens
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

GPT-4o API Pricing
- Input: $3.25 / 1M tokens
- Output: $13 / 1M tokens

Where to Use GPT-4o

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

Uptime (24h): 76.0%
Uptime (7d): 97.0%
Availability (24h): 80.0%
Error rate (24h): 20.0%
End-to-end latency (24h median): 859ms
Throughput (24h median): 33.6 tok/s

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Complex data pipelines

Generate structured JSON responses directly—ideal for API orchestration and log automation.

Long-content understanding

Process and output extensive content like full transcripts, reports, or novels in a single request.

Multimodal agents

Build agents that take text, visuals, audio, and video, and return unified structured data.

Cost-effective reasoning

Run high-throughput and chain-of-thought workflows with advanced JSON support at lower cost.

AI-assisted coding & analysis

Use structured outputs for formatted code, chart data, or config generation straight from prompt.

‍

How to use GPT 4o 2024‑08‑06 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to openai/gpt-4o-2024-08-06.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "openai/gpt-4o-2024-08-06",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "openai/gpt-4o-2024-08-06",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-4o-2024-08-06","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.