Model access

GPT API access inside a broader model gateway

GPT models remain a default choice for many AI products, but production teams often need fallback, price comparison and access to non-OpenAI model families. PEKPIK LLM keeps the familiar OpenAI-compatible interface while making GPT part of a wider model catalogue.

Request access Read quickstart View model catalog

Primary query

GPT API

Why teams search for this

Use a familiar OpenAI-style request shape for GPT workloads.

Test non-GPT fallbacks with less application code churn.

Expose cost and model choices through one published pricing catalogue.

Reduce provider-account sprawl for teams running many AI experiments.

Where PEKPIK fits

Good fit

OKExisting OpenAI SDK apps that need a broader model menu.
OKTeams benchmarking GPT against Claude, Gemini or DeepSeek.
OKProducts that need a fallback strategy without a second integration project.

Check first

!Provider-native-only GPT features may require direct OpenAI integration.
!Model IDs and availability should be checked in the live catalogue before launch.
!Always evaluate responses on your own prompts before switching production traffic.

OpenAI-compatible example

base_url swap

from openai import OpenAI

client = OpenAI(
    base_url="https://aiapiv2.pekpik.com/v1",
    api_key="sk-...",
)

response = client.chat.completions.create(
    model="gpt",
    messages=[{"role": "user", "content": "Summarize this for a product team."}],
)

Suggested rollout

01

Keep your current OpenAI SDK code path and isolate the base URL in configuration.
02

Run a baseline evaluation with your existing GPT model and prompts.
03

Add at least one non-GPT fallback model for the same task.
04

Track output quality and spend before scaling traffic.

FAQ

Why use a gateway if my app already uses OpenAI?

A gateway is useful when you want one integration surface for GPT plus other model families, especially for fallback, price comparison and procurement simplicity.

Will my existing OpenAI SDK code need a full rewrite?

For common chat completion flows, usually no. The main change is the base URL and API key, then model IDs are selected from the PEKPIK catalogue.