One API for the models business actually uses

Flagship AI models.
Managed for business.

Every major provider's flagship, premium and budget models in one place — with backup connections for uptime, model aliases that survive renames, company-wide controls on every key, and full visibility into usage and spend.

Get your API key Read the docs

No subscription Provider cost + 5% OpenAI-compatible API US-hosted options

Your AI, at a glance Example account

Model aliasacme-support-agent → Anthropic · Flagship

4 apps

Key policy · Marketing teamModel and temperature locked

Enforced

Routing3 connections available

Healthy

Activity · this monthSpend by team, key and model

Our approach

Fewer models. The right ones.

Choosing from hundreds of models wastes time and most of them aren't what a business would deploy. We carry around 30 — the flagship, premium and budget models from every major provider — and keep them current.

Typical AI aggregator

Hundreds of models to sort through and compare
Model renamed? Update every app, agent and workflow
Settings controlled by whatever the software sends
One upstream connection per model

APIpie.ai

~30 curated models from every major provider
Aliases: remap once, centrally, zero code changes
Key-level overrides your company sets and locks
Redundant connections to most models for uptime

Models

Every major provider. Their latest flagships.

Premium models for your hardest work, budget models for volume — plus open-weight models available on US-based infrastructure.

OpenAILatest flagship + budget tier

AnthropicLatest flagship + budget tier

Google GeminiLatest flagship + budget tier

xAI GrokLatest flagship

DeepSeekLatest flagship

KimiHighlighted open-weight model

GLMHighlighted open-weight model

QwenLatest flagship

US-hosted routesOpen-weight models served via Fireworks and Together AI

Hosted in the United States

LanguageChat, reasoning, agents

ImageGeneration

VoiceSpeech in and out

EmbeddingsSearch and retrieval

OpenAI-compatible

Works with the software you already run.

The entire API follows the OpenAI format — the industry standard. Tools, SDKs and apps that already work with OpenAI connect to APIpie by changing the address and key. No rewrite, no lock-in.

Use every provider through one familiar format
Existing OpenAI integrations switch over in minutes
Your developers don't learn anything new

app.py — the only change

from openai import OpenAI

client = OpenAI(
    base_url="YOUR_APIPIE_BASE_URL",
    api_key="YOUR_APIPIE_KEY",
)

client.chat.completions.create(
    model="acme-default",  # an alias you control
    messages=[{"role": "user", "content": "Hello"}],
)

Same code.Different provider. No lock-in. PythonOpenAI SDK

Model Management

Model names change. Your code doesn't have to.

Providers rename and replace models constantly. Point your software, agents and workflows at aliases you define — then remap them in one place when something better ships.

Create aliases like acme-default or fast-cheap
Swap the model behind an alias across every app instantly
Move between providers without touching a line of code

Model aliases Try it — change a mapping

acme-support-agent

acme-default

fast-cheap

Waiting for a change…

Key Configurations

Corporate controls, enforced at the key.

Set rules on each API key that override whatever the software sends. Hard-code a model, fix the temperature, cap output — and lock it so nobody downstream can change it.

Pin a key to one model or alias, no matter what's requested
Predefine temperature and other generation settings
Give each team or vendor its own key with its own rules

Key: sk-…marketing-teamOverrides

Force modelIgnore the model the app requests

TemperatureFixed for every request

0.3

Max output tokensCap response length

2048

Locked settings override the request. Unlocked settings are defaults.

{
  "key_overrides": {
    "model": {
      "value": "acme-default",
      "locked": true
    },
    "temperature": {
      "value": 0.3,
      "locked": true
    },
    "max_output_tokens": {
      "value": 2048,
      "locked": false
    }
  }
}

Redundant connections

When a provider stumbles, your requests don't.

Most models are reachable through more than one upstream connection. If the primary route fails, traffic moves to a backup automatically — same model, same request.

Automatic failover between connections
No retry logic to build on your side
Request routing visible in Activity

Routes for acme-defaultAll routes healthy

Connection AServing

Connection BStandby

Connection CStandby

Activity

Know where every AI dollar goes.

Activity gives you usage and observability across the whole account. See which teams, keys and models are driving spend — and catch problems before they show up on the invoice.

Usage and spend broken down by key and model
See which model each alias actually used
Spot failovers and errors as they happen

Activity Example data

Requests12,480

Spend$1,284

Failovers3

Key	Alias	Resolved to	Cost	Status
Support	acme-support-agent	Anthropic · Flagship	$0.042	OK
Marketing	acme-default	OpenAI · Flagship	$0.031	OK
Ops	fast-cheap	Google Gemini · Budget	$0.002	OK
Support	acme-support-agent	Anthropic · Flagship	$0.038	Failover
Marketing	acme-default	OpenAI · Flagship	$0.027	OK
Ops	fast-cheap	Google Gemini · Budget	$0.001	OK

Pricing

Pay as you go. Provider cost plus 5%.

No subscription, no seats, no minimums. Add credits when you need them and pay the provider's rate plus a flat 5%.

5%on top of provider cost

Add credits any time — no plans to pick
Model Management and Key Configurations included
Redundant routing included
Full usage and billing history

Add credits

Monthly provider usage: $1,000

Provider cost$1,000

APIpie fee (5%)$50

You pay$1,050

Illustration only. Provider cost depends on the models and tokens you use.

Stop chasing model names. Start shipping.

Create a key, set your aliases, and point your apps at them.