Platform
Comparisons
Last updated June 3, 2026
How Cencori compares to OpenRouter, LangChain, and Vercel AI SDK.
A common question is: "How is Cencori different from X?"
The short answer: Cencori is the Infrastructure Layer. We are not just a model router, and we are not just a JS library. We are the cloud platform that powers your AI application.
vs OpenRouter
OpenRouter is a pipe. Cencori is a platform.
| Feature | OpenRouter | Cencori |
|---|---|---|
| Model Routing | Yes | Yes (14+ Providers) |
| Unified API | Yes | Yes (OpenAI Compatible) |
| Integrations | No | Vercel, Zapier, Supabase |
| Security | No | PII Redaction, Prompt Injection |
Summary: Use OpenRouter if you just need access to a specific model. Use Cencori if you are building a production application that needs security, reliability, and billing.
vs LangChain / LangGraph
LangChain is a library you have to host. Cencori is a serverless backend.
| Feature | LangChain | Cencori |
|---|---|---|
| Model Routing | Yes (via Adapter) | Yes (Native) |
| Unified API | Yes | Yes |
| Integrations | Yes (Code) | Yes (Native & Code) |
| Security | No | PII Redaction, Prompt Injection |
| Hosting | Self-hosted (e.g. EC2, Fargate) | Serverless Cloud |
| State | Redis/Postgres (Manual) | Built-in Persistence |
| Retries | You code it | Built-in (Exponential Backoff) |
| Observability | LangSmith (Separate) | Integrated Dashboard |
Summary: You can actually use LangChain with Cencori. Use LangChain for the graph logic, and let Cencori handle the LLM execution, security scanning, and billing/observability.
vs Vercel AI SDK
Vercel AI SDK is the Frontend. Cencori is the Backend.
| Feature | Vercel AI SDK | Cencori |
|---|---|---|
| Model Routing | Yes (Client-side) | Yes (Server-side) |
| Unified API | Yes | Yes |
| Integrations | Yes (Frontend) | Yes (Backend) |
| Security | No (Client-side only) | Enterprise-grade (PII, Injection) |
| Role | Frontend Library | Backend Engine |
| Focus | UI State & Streaming | Intelligence & Security |
Better Together:
import { cencori } from 'cencori/vercel';
import { streamText } from 'ai';
// Vercel handles the Streaming & UI
const result = await streamText({
// Cencori handles the Intelligence, Security, & Observability
model: cencori('gpt-4o'),
messages
});vs Vercel AI Gateway
Vercel AI Gateway focuses on caching and rate limiting. Cencori focuses on Intelligence.
| Feature | Vercel AI Gateway | Cencori |
|---|---|---|
| Model Routing | Yes | Yes |
| Unified API | Yes | Yes |
| Integrations | Limited | Vercel, Zapier, Supabase |
| Security | Basic (Firewall) | AI-Specific (PII, Jailbreak) |
| Primary Goal | Caching & Rate Limiting | Production Infrastructure (Routing, Billing, Security) |
| Intelligence | Passive (Network Layer) | Active (Application & Security Layer) |
Summary: Cencori is an Active intelligence layer, whereas Vercel AI Gateway is a Passive network layer.
vs LiteLLM
LiteLLM is a Python library/proxy. Cencori is a managed cloud platform.
| Feature | LiteLLM | Cencori |
|---|---|---|
| Model Routing | Yes (Python Proxy) | Yes (Global Edge) |
| Unified API | Yes | Yes |
| Integrations | No | Vercel, Zapier, Supabase |
| Security | Basic (API Key Mgmt) | Enterprise-grade (PII, Injection) |
| Hosting | Self-hosted | Serverless Cloud |
Summary: LiteLLM is great for standardizing APIs if you want to manage your own proxy. Cencori provides the same standardization but adds managed infrastructure, security, and billing.
vs Portkey / Helicone
Portkey & Helicone are primarily Observability Gateways. Cencori is an Intelligence Platform.
| Feature | Portkey / Helicone | Cencori |
|---|---|---|
| Model Routing | Yes | Yes |
| Unified API | Yes | Yes |
| Integrations | Observability-Focused | Application-Focused |
| Security | Audit Logs Only | Active Redaction & Blocking |
| Primary Goal | Logging & Analytics | Running & Monetizing AI Products |
Summary: Portkey and Helicone tell you what happened (Logging). Cencori helps you manage and monetize what happens (Billing, Security, Observability).
vs Mastra
Mastra is a TypeScript framework. Cencori is the infrastructure that powers it.
| Feature | Mastra | Cencori |
|---|---|---|
| Model Routing | Yes (Local) | Yes (Cloud) |
| Unified API | Yes | Yes |
| Integrations | Yes (Code) | Yes (Native) |
| Security | No | PII Redaction, Prompt Injection |
| Hosting | Self-hosted | Serverless Cloud |
| State | Postgres (Manual) | Built-in Persistence |
Summary: Mastra is like "Next.js for Agents" (the framework). Cencori is the "Vercel for Agents" (the platform). You can use them together, or let Cencori handle the backend complexity entirely.