API gateway

OpenAI-compatible API gateway for multi-model apps

PEKPIK LLM lets developers keep the OpenAI SDK interface while routing requests to a wider catalogue of frontier, Chinese and specialist models. It is built for teams that do not want separate provider accounts, separate SDK paths and separate billing workflows for every model family.

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Primary query

OpenAI-compatible API gateway

Why teams search for this

One OpenAI-style API surface for chat, code, embedding, image, video and audio models.

Catalogue-driven model availability published at /model_catalog.json and refreshed from upstream data.

Multi-channel failover behind the gateway, so application code stays simple.

A practical path for teams comparing direct provider accounts, OpenRouter-style routers and self-hosted proxies.

Where PEKPIK fits

Good fit

OKYou need GPT, Claude, Gemini, DeepSeek, Qwen or Kimi in one product workflow.
OKYou already use the OpenAI SDK and want to avoid provider-specific rewrites.
OKYou care about price visibility, throughput and failover more than managing accounts yourself.

Check first

!Final model availability and pricing should be confirmed when your key is provisioned.
!If you require direct enterprise contracts with every upstream provider, direct accounts may still be necessary.
!Provider-specific beta features can differ from the OpenAI-compatible surface.

How OpenAI-compatible gateway options differ

The phrase OpenAI-compatible API gateway can describe several operating models. The right choice depends on whether your team wants managed access, direct provider control, self-hosted routing or a marketplace-style model router.

Option	Best fit	Tradeoff
Managed gateway such as PEKPIK	Teams that want one OpenAI-style API for GPT, Claude, Gemini, DeepSeek and other model families with support around access and routing.	You rely on the gateway provider for provisioning, catalogue accuracy and support.
Direct provider accounts	Teams that need the deepest provider-native features or direct enterprise relationships.	Application code, billing and failover become more fragmented across providers.
Marketplace router	Developers who want quick self-serve model discovery and broad experimentation.	Production support, procurement and limits may need separate validation.
Self-hosted proxy	Teams that want to own routing logic, credentials and infrastructure.	You carry the operational work for deployment, monitoring, provider keys and failover.

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="claude-opus-4-7",
    messages=[{"role": "user", "content": "Summarize this for a product team."}],
)

Suggested rollout

01

List the models your app calls today and group them by task: chat, code, embedding, media or audio.
02

Swap only the base URL in a staging environment and run your existing OpenAI SDK tests.
03

Compare latency, output quality and token cost on your real prompts before moving production traffic.
04

Use /model_catalog.json and the docs to keep model IDs and availability and price assumptions visible to your team.

Related comparisons

OpenRouter alternatives Compare marketplace routers with PEKPIK's managed OpenAI-compatible gateway path. Claude API through an OpenAI-compatible gateway Use Claude-style workloads while keeping an OpenAI SDK request pattern where supported. OpenRouter alternatives for Claude API Evaluate Claude access as part of a broader OpenRouter alternative shortlist.

FAQ

Is PEKPIK LLM a drop-in OpenAI API replacement?

For common OpenAI-compatible REST and SDK flows, yes: you point the client at the PEKPIK base URL and use a PEKPIK key. Provider-specific features still need compatibility checks.

Does one key mean every model is always available?

The gateway is designed around a broad live catalogue, but provisioning and final availability are confirmed when you request access.