RunAPI

RunAPI is an AI model API gateway with one API key for multiple vendors, real-time routing, shared credits, and usage visibility.

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AI model API gateway

RunAPI is an AI model API gateway that lets developers access many model providers through one unified API key. The site positions it as a domestic alternative to OpenRouter and says it supports 150+ models from providers such as OpenAI, Claude, Gemini, and DeepSeek.

The product is built around request routing, shared credits, and usage visibility. The homepage says requests are routed in real time based on price and latency, while the pricing page shows a catalog of 201 models with pay-as-you-go and pay-per-view billing types. The console pages indicate that users sign in to manage tokens and logs from the web app.

Core capabilities

Unified API access

RunAPI presents a single API key and unified base URL so applications can reach multiple AI providers without managing separate credentials for each vendor.

Smart routing

The service says it analyzes price and latency in real time and routes each request to an optimal provider for that call.

Usage observability

The homepage states that the platform supports deep observability, including token-level tracing and cost monitoring by user, feature, or model.

Auto-healing retries

The service describes automatic retry behavior to help requests continue when a provider has issues.

Multi-vendor model catalog

The pricing page lists 201 models across vendors such as OpenAI, Anthropic, Google, DeepSeek, Meta, xAI, and others.

Fast account setup

The onboarding flow shows account creation, credit purchase, and key generation as the basic setup path.

Common workflows

Single integration for multi-model apps
Connect an application to multiple AI vendors through one API integration instead of maintaining separate keys and endpoints for each provider.
Cost- and latency-aware routing
Route traffic to providers based on price and latency when you want the gateway to choose the call path for each request.
Usage monitoring and cost attribution
Track token usage and costs by user, feature, or model when you need visibility into consumption across a product or team.
Fast onboarding for new projects
Start a project quickly by creating an account, buying credits, and generating a unified key from the web console.
Model selection and pricing review
Browse a large model catalog and compare per-model pricing when selecting text, image, or other model types for a workflow.

Pros and Cons

Pros

One API key can be used across multiple model providers.
The site documents real-time routing based on price and latency.
Pricing pages expose a large model catalog and per-model pricing.
Credits never expire, according to the onboarding flow.
The product includes logs and token-related console areas for account management.

Cons

The public pages do not document rate limits, team controls, or other operational limits in detail.
Several console and docs pages require sign-in, so some workflow details are not visible from the public site.

FAQ

How do I get started with RunAPI?

RunAPI provides a single unified API key and endpoint for accessing multiple AI models. The site shows a simple setup flow: sign up, buy credits, then generate a unified key and replace your existing base URL.

How does RunAPI pricing work?

The pricing page shows model listings from multiple vendors with pay-as-you-go and pay-per-view billing types. Credits are used across most models and the site states that credits never expire.

Does RunAPI document team or organization features?

The source shows a console for tokens and logs, but it does not document team permissions, collaboration features, or workspace controls.

Who is RunAPI for?

The site positions RunAPI as an AI model API gateway with support for OpenAI, Anthropic, Google, DeepSeek, and other vendors. It is aimed at developers who want one integration for multiple model providers.

What limitations are documented on the site?

The source does not include detailed setup limits, rate limits, or service constraints. Those would need to be checked in the product documentation or by signing in to the console.