Best AI Gateway Tools (2026): 8 Gateways and LLM Routers

Every model call your product makes will pass through this tool. That's what makes an AI gateway useful, with one key, one place for logs and one switch when a provider goes down, and it's also what makes it risky. If the gateway slows down or changes hands, everything you ship feels it.

The eight gateways below are listed in no particular order and grouped by shape. Each is described from its own website, and any claim, including benchmark claims, is labelled as the vendor's own.

A gateway becomes part of everything you ship

Before you compare features, check three things on every tool you're considering:

• Can you self-host it? Some run only as a service, some only on your own infrastructure, and a few do both.
• What does it add to latency? Measure it on your own traffic and your own regions, not from a vendor chart.
• Do your prompts and logs pass through the vendor? If they do, read where they're stored and for how long, and whether that fits your customer contracts.

Those three answers decide more than any routing feature, because they're the ones you can't change later without moving every call in your product.

Open-source proxies you host

LiteLLM is an open-source AI gateway and LLM proxy that puts many models behind one OpenAI-compatible key, with spend tracking. The vendor says you can go live in an afternoon and self-host anywhere. Bifrost is another open-source option for LLMs, MCP and agents, with routing, governance, guardrails and observability, and it publishes its own benchmark claiming it runs faster than that first proxy. Treat that as the vendor's claim and test on your own traffic.

TrueFoundry sits at the enterprise end of self-hosting. It's a gateway for LLMs, MCP tools and agents with rate limiting, observability and compliance features, and the vendor says it runs in a VPC, on-prem, air-gapped or across multiple clouds.

Hosted routers: one key, many models

OpenRouter gives you a unified interface to many models through one OpenAI-compatible API, and points to distributed infrastructure for higher availability. Requesty is an AI gateway and LLM router with routing, failover, caching, spend limits and observability, and the vendor highlights EU data residency.

Eden AI calls itself the European AI gateway, with an OpenAI-compatible API to many models, routing by spend, spending rules and per-team model access shown on one screen. If you also need to keep track of the prompts going through these routers, see my guide to prompt management tools.

Gateways from cloud and hosting platforms

Cloudflare AI Gateway adds analytics, logging, caching, rate limiting and model fallback in front of your AI apps. Vercel AI Gateway lets you use many models without managing separate rate limits and API keys, and the vendor says it fails over automatically to the same model on another provider if one degrades.

Both make most sense if your app already runs on that platform. You get the gateway with very little set-up, in return for tying model traffic more tightly to your host.

My advice for platform engineers

Pick the shape before the product. If your prompts carry customer data and your contracts say it stays in your network, start with the self-hosted proxies and don't let a slick hosted demo pull you away. If speed of set-up matters more, a hosted router or your existing platform's gateway will get you live faster.

Whichever you pick, keep your own code talking to an OpenAI-compatible interface. Most tools here support one, and it's what lets you swap gateways later without rewriting every call. For a view of what to log once the gateway is in place, my list of Helicone alternatives covers the monitoring side.

Eight gateways by shape

Tool	Shape	Good for
Bifrost	Open-source AI gateway	Self-hosted routing with guardrails and governance
Cloudflare AI Gateway	Platform gateway	Apps on Cloudflare wanting caching and fallback
Eden AI	European AI gateway	Per-team model access with a European focus
LiteLLM	Open-source AI gateway	One OpenAI-compatible key with spend tracking
OpenRouter	Hosted multi-model router	One API for many models, nothing to host
Requesty	Hosted router with governance	EU data residency with routing and spend limits
TrueFoundry	Enterprise AI and MCP gateway	VPC, on-prem or air-gapped deployments
Vercel AI Gateway	Platform gateway	Apps on Vercel wanting failover without extra keys

The eight gateways in alphabetical order

One line each.

Bifrost

Best for: Engineers who want an open-source gateway for LLMs, MCP and agents, with routing, governance, guardrails and observability built in.

Cloudflare AI Gateway

Best for: Apps already running on Cloudflare that want analytics, logging, caching, rate limiting and model fallback added in front of model calls.

Eden AI

Best for: European teams wanting an OpenAI-compatible API to many models, with routing by spend, spending rules and per-team model access on one screen.

LiteLLM

Best for: Platform teams that want an open-source LLM proxy putting many models behind one OpenAI-compatible key, with spend tracking and self-hosting anywhere.

OpenRouter

Best for: Developers who want one OpenAI-compatible API to many models without running anything, with the vendor pointing to distributed infrastructure for availability.

Requesty

Best for: Teams needing a hosted LLM router with routing, failover, caching, spend limits and observability, offered with EU data residency according to the vendor.

TrueFoundry

Best for: Enterprises wanting a gateway for LLMs, MCP tools and agents that can run in a VPC, on-prem, air-gapped or across several clouds.

Vercel AI Gateway

Best for: Frontend and app teams on Vercel who want many models without juggling separate rate limits and API keys, with failover to another provider.

Who owns the gateway you pick

This market is moving fast. At least one well-known gateway now presents itself on its own site under a different product brand, as part of a wider security product. That doesn't make any of them a bad choice, but it does change the question you should ask.

Look at who owns the company, what else they sell and where the gateway fits in their plans. An open-source project with an active community gives you a fallback if the company changes direction. A gateway that's one feature of a bigger platform is safer if you already depend on that platform. Either way, write down how you'd leave before you arrive.

Do you make AI gateway or LLM routing software? Tool makers can ask to be considered for a featured place on this list.

Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.

Frequently asked questions

What is an AI gateway?

It's a layer between your app and the language models it calls. It gives you one key and one interface for many models, plus logging, rate limits, caching and fallback when a provider fails.

Should I self-host an AI gateway?

Self-hosting keeps prompts and logs inside your own infrastructure, which some customers and contracts require. It also means your team runs and upgrades the gateway.

Does an AI gateway slow down requests?

It adds a hop, so it can add some latency. Measure it on your own traffic and regions, and compare that with what you gain from caching and fallback.

What does OpenAI-compatible mean?

The gateway accepts requests in the same format as the OpenAI API. That lets you point existing code at it and switch models or gateways with fewer code changes.

Are these gateways ranked?

No. They're in no particular order and grouped by shape: self-hosted, hosted router or platform gateway.