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Best AI Gateways & LLM Routing Tools 2026

Compare the best AI gateways & LLM routing tools for 2026: LiteLLM, OpenRouter, Portkey, Vercel AI Gateway, Cloudflare AI Gateway, Kong AI Gateway, TrueFoundry and Requesty — routing, fallback, caching and cost control across models.

Mis à jour: 13 juillet 2026
par Michael Kerkhoff

TL;DR

The best AI gateways in 2026 put one unified API in front of many model providers, adding routing, automatic fallback, caching, cost tracking and governance. LiteLLM leads for open-source, self-hosted control; OpenRouter is the fastest zero-setup way to reach 400+ models; Portkey is the enterprise gateway with observability and guardrails; Vercel AI Gateway and Cloudflare AI Gateway are edge-native for web stacks; Kong AI Gateway adds AI controls to existing API management; TrueFoundry and Requesty focus on governed, cost-weighted routing. Choose by hosting, integration and open-source needs.

Top Picks

1

LiteLLM

AI-Native

Best all-round choice and the de facto open-source standard: a self-hostable proxy that exposes 100+ LLMs behind one OpenAI-compatible endpoint, with fallbacks, budgets, virtual keys and per-team cost tracking. Maximum control for teams that want the gateway inside their own infrastructure.

Open-source LLM proxy with the widest provider support and full self-host controlFree OSS; LiteLLM Cloud & Enterprise usage/seat-based
2

OpenRouter

Best zero-setup path to many models: a managed marketplace and unified API covering 400+ models from 60+ providers, with automatic failover and a single billing relationship. Ideal when you want breadth and speed without running any infrastructure.

Managed multi-model marketplace with the broadest catalog and one-key accessPay-per-token passthrough plus a small platform fee; no monthly minimum
3

Portkey

AI-Native

Best for production teams that need governance: a unified gateway across 1,600+ LLMs with built-in observability, semantic caching, guardrails, prompt management and MCP support. Open-source core with a managed control plane for enterprise rollouts.

Enterprise gateway plus observability, guardrails and prompt governance in one layerFree tier; usage-based Pro; Enterprise custom
4

Vercel AI Gateway

Best for web and AI SDK stacks: a managed, edge-native gateway that gives one API for hundreds of models with automatic provider fallback, spend monitoring and zero data retention. Integrates natively with the Vercel AI SDK and Fluid Compute deployments.

Edge-native unified API for web apps built on the Vercel AI SDKUsage-based on model tokens; no gateway markup
5

Cloudflare AI Gateway

Best for edge performance and caching: proxy your model traffic through Cloudflare to add caching, rate limiting, request retries, analytics and logging by changing one base URL. Provider-agnostic and cheap to start on the Cloudflare network.

Edge proxy for caching, rate limiting and analytics across any providerFree to start; scales with Cloudflare usage
6

Kong AI Gateway

AI-Native

Best for teams already on Kong: AI-specific plugins on Kong Gateway and Konnect add universal LLM routing, semantic caching, rate limiting and prompt guardrails inside your existing API management stack. Strong when AI traffic must share one control plane with other APIs.

AI controls layered onto enterprise API management and existing gatewaysOSS core free; Konnect & Enterprise custom
7

TrueFoundry

Best for governed, Kubernetes-native enterprise deployments: an AI control plane that combines model routing with access control, budgets, observability and an MCP gateway for agent tool access. Fits regulated teams that need one governed layer for models and agents.

Enterprise control plane for model routing, governance and agent toolingEnterprise (custom); self-hosted control plane
8

Requesty

Best for cost-weighted intelligent routing: a managed router across 300+ models that dynamically shifts traffic between frontier and cheaper models by cost, latency and quality, with fallback and spend analytics. Aimed at cutting inference bills without rewriting app code.

Intelligent, cost-optimized routing across many modelsUsage-based; free tier to start

Comparison Table

NameBest ForIntegrationHostingPricingOpen Source
1LiteLLM
Open-source LLM proxy with the widest provider support and full self-host controlOpenAI-compatible API, Python SDK, Docker/Kubernetes, YAML configSelf-host + Managed (Cloud)Free OSS; LiteLLM Cloud & Enterprise usage/seat-based
2OpenRouter
Managed multi-model marketplace with the broadest catalog and one-key accessOpenAI-compatible REST API, drop-in base-URL swap, per-request model routingManaged (SaaS)Pay-per-token passthrough plus a small platform fee; no monthly minimum
3Portkey
Enterprise gateway plus observability, guardrails and prompt governance in one layerOpenAI-compatible API, SDKs, config-based routing, guardrails, MCPManaged + Self-hostFree tier; usage-based Pro; Enterprise custom
4Vercel AI Gateway
Edge-native unified API for web apps built on the Vercel AI SDKVercel AI SDK, OpenAI-compatible API, Fluid Compute, edge runtimeManaged (Edge)Usage-based on model tokens; no gateway markup
5Cloudflare AI Gateway
Edge proxy for caching, rate limiting and analytics across any providerBase-URL proxy, Workers, REST, OpenAI-compatible endpointsManaged (Edge)Free to start; scales with Cloudflare usage
6Kong AI Gateway
AI controls layered onto enterprise API management and existing gatewaysKong Gateway/Konnect plugins, declarative config, KubernetesSelf-host + KonnectOSS core free; Konnect & Enterprise custom
7TrueFoundry
Enterprise control plane for model routing, governance and agent toolingKubernetes-native, unified API, MCP gateway, RBAC, observabilitySelf-host + ManagedEnterprise (custom); self-hosted control plane
8Requesty
Intelligent, cost-optimized routing across many modelsOpenAI-compatible API, routing policies, analytics dashboardManaged (SaaS)Usage-based; free tier to start

← Scroll horizontally to see all columns

How to Choose

  • Decide hosting first: for strict data residency, GDPR/EU AI Act compliance or air-gapped setups, prefer self-hostable options (LiteLLM, Portkey, Kong, TrueFoundry); for speed, pick managed edge gateways (OpenRouter, Vercel, Cloudflare, Requesty).
  • Match integration to your stack: nearly all 2026 gateways expose an OpenAI-compatible endpoint, so you switch by changing one base URL — Vercel AI Gateway is the tightest fit if you already use the Vercel AI SDK, Kong if you already run Kong.
  • Separate routing from failover: static fallback (try model B if A fails) is table stakes; cost-weighted or quality-aware routing (Requesty, Portkey, TrueFoundry) actively moves traffic to cheaper or better models per request.
  • Check governance and PII controls: for production, verify per-team budgets, virtual keys, prompt/response masking, guardrails and retention limits before routing real traffic — Portkey, TrueFoundry and Kong lead here.
  • Watch caching and cost attribution: semantic and exact-match caching plus per-user cost tracking are where gateways pay for themselves — model your expected token volume against each tool's pricing and markup before committing.
  • Avoid lock-in: keep your app on the OpenAI-compatible surface and treat the gateway as swappable, so you can move between providers or run several gateways in parallel as models are deprecated or repriced.

Frequently Asked Questions

An AI gateway (also called an LLM gateway or model router) is an infrastructure layer that sits between your application and multiple AI model providers. Instead of integrating each provider separately, your app talks to one unified, usually OpenAI-compatible endpoint, and the gateway handles authentication, routing, automatic fallback, caching, rate limiting, cost tracking and governance. In 2026 the gateway has become the control plane for multi-model reliability and cost control. Leading options include LiteLLM, OpenRouter, Portkey, Vercel AI Gateway, Cloudflare AI Gateway, Kong AI Gateway, TrueFoundry and Requesty.

There is no single winner — it depends on hosting and governance needs. For most teams LiteLLM is the best all-round choice because it is open-source, self-hostable and supports the widest range of providers. OpenRouter is best for zero-setup access to 400+ models. Portkey is best when you need enterprise observability and guardrails. Vercel AI Gateway and Cloudflare AI Gateway are best for edge and web stacks. Kong AI Gateway is best if you already run Kong. TrueFoundry and Requesty are best for governed, cost-weighted routing.

The terms overlap and are often used interchangeably in 2026. A gateway is the broader control plane: it unifies access, adds caching, security, observability and governance across providers. A router is the routing logic inside it — the decision about which model handles a given request. Simple routers do static fallback (try model B if model A fails); advanced routers (Requesty, Portkey, TrueFoundry) do cost-weighted or quality-aware routing that dynamically picks the cheapest or best model per query. Most full gateways include a router; standalone routers focus mainly on model selection.

Yes, when used well. Gateways cut spend three ways: semantic and exact-match caching avoids paying for repeated or near-identical requests; cost-weighted routing moves easy queries to cheaper or smaller models and reserves frontier models for hard tasks; and per-team budgets plus cost attribution stop runaway spend. With frontier pricing volatility in 2026 — where cheaper models can be several times less expensive per token — a multi-model routing strategy can cut inference bills substantially. The savings depend on your traffic mix, so measure cache hit rates and per-model cost before and after.

Yes. LiteLLM is the most widely used open-source, self-hostable gateway, exposing 100+ providers behind one OpenAI-compatible API. Portkey ships an open-source gateway core with a managed control plane on top, and Kong AI Gateway builds on the open-source Kong Gateway. Self-hosting keeps prompts, responses and API keys inside your own infrastructure, which matters for data residency and EU AI Act compliance. Managed-only options like OpenRouter, Vercel AI Gateway, Cloudflare AI Gateway and Requesty trade that control for lower operational overhead.

Gateways improve reliability by decoupling your app from any single provider. If a model returns an error, times out or hits a rate limit, the gateway can automatically retry on a configured fallback model or provider, often transparently to your code. Better gateways add load balancing across API keys, request queuing, and circuit breakers so a provider outage does not take down your app. Because your application only talks to the gateway, you can add, swap or deprecate underlying models without redeploying — which is why gateways are treated as the load balancer of the AI stack in 2026.

Increasingly, yes. As agentic systems grew in 2026, gateways added Model Context Protocol (MCP) support and agent-aware controls. Portkey and TrueFoundry, for example, extend the gateway to govern agent tool access through an MCP gateway — applying the same authentication, budgets and guardrails to tool calls that they apply to model calls. This lets teams route both LLM requests and agent tool invocations through one governed control plane, rather than scattering credentials and policies across individual agents. If you run agents, check for MCP support and per-tool access control when choosing a gateway.

Related Resources

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Sources & Further Reading

LiteLLM — Call 100+ LLM APIs in the OpenAI format (GitHub)

LiteLLM / BerriAI

OpenRouter — A unified API for 400+ AI models

OpenRouter

Portkey — AI Gateway, observability and governance

Portkey

AI Gateway — Documentation

Vercel

Cloudflare AI Gateway — Documentation

Cloudflare

Kong AI Gateway — Universal LLM routing and controls

Kong

AI gateway comparison: the 6 best ranked (2026)

Braintrust

A Definitive Guide to AI Gateways in 2026: Competitive Landscape

TrueFoundry

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