Name: GPT Mini Latest API
Brand: OpenAI

Overview

GPT Mini Latest Description

Basic Information

Model Name: GPT Mini Latest

Developer/Creator: OpenAI

Model Type: Rolling alias (chat)

Overview:

GPT Mini Latest is not a fixed model — it is an alias that always resolves to OpenAI's newest Mini-tier model. As OpenAI ships a new Mini generation, requests to this endpoint automatically route to it, without any change to your code or model string.

Key Features:

Automatic upgrades to the newest Mini-tier model as OpenAI releases them

Function calling and structured outputs

400,000-token context window

Up to 128,000 output tokens per response

Intended Use:

Suited for cost-sensitive, high-volume workloads — classification, extraction, drafting, lightweight chat — where staying on the latest Mini-tier model matters more than pinning to a specific dated snapshot.

Technical Details

Context Window:

400,000 tokens.

Max Output:

128,000 tokens.

Usage

Because this is a rolling alias, behavior and pricing can change when OpenAI updates which model it points to. For workloads that require a fixed, reproducible model version, use a dated snapshot instead of this alias.

Uptime and performance

Uptime (24h): 100%
Uptime (7d): 71.0%
Availability (24h): 100%
Error rate (24h): 0%

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

Use cases

Customer support chatbots, high-volume text summaries, and code generation assistants are all documented use cases for this model.

It is also described as suitable for knowledge base search, especially when the workload needs quick retrieval-style assistance.

For lightweight operational tasks, it is documented for usage cost optimization and log and alert monitoring.

How to use GPT Mini Latest API

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

import requests

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

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