Name: GPT Chat Latest API
Brand: OpenAI

Overview

What is GPT Chat Latest API?

GPT Chat Latest is available through AIMLAPI.

Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 400,000 tokens / Max output: 128,000 tokens
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

GPT Chat Latest API Pricing
- Input: $6.5 / 1M tokens
- Output: $39 / 1M tokens

Where to Use GPT Chat Latest

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.

Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.

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

Code Sample
[embed]

Uptime and performance

Uptime (7d): 100%

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

Use cases

GPT-chat-latest is documented as suited for interactive assistants. It is described as a model for customer care, IT helpdesk, HR, and sales enablement.

It is also documented for brand-aligned, safe conversations. The model description says it can resolve complex cases while maintaining speed and quality.

A third documented use case is customer-facing chat experiences. It is presented as a chat-optimized model for multi-turn conversational use.

It is also suited to agentic workflows that coordinate external tools. The model page describes it as supporting structured tool outputs for tasks such as search, retrieval, ticketing, and CRM.

How to use GPT Chat Latest API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to openai/gpt-chat-latest.

import requests

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

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