Best API Gateways in 2026: How to Choose and Compare

There is no single best API gateway for every stack. The right pick depends on where you run, how much operations work your team can carry, and whether your traffic includes AI models. Kong suits hybrid and multi-cloud setups, Apigee suits full API management on Google Cloud, Amazon API Gateway suits serverless on AWS, and open-source options such as Apache APISIX, Tyk and Traefik suit teams that want control and can operate them. If you work in a regulated industry and need an AI gateway your firm owns, we cover that case below.

TL;DR

• Start from your environment: AWS, Azure and Google Cloud each ship a native gateway, while Kong, Tyk, APISIX and KrakenD run anywhere.
• Open source gives you control, but your team owns upgrades, scaling and monitoring. Self-hosted cost is mostly staff time.
• Pricing comes in four shapes: per call, per environment, per service or gateway, and flat subscription. Compare them at your real traffic.
• For AI workloads, check token-based rate limiting, model routing, semantic caching, prompt-injection defense and budget controls.
• Gateway and identity are separate decisions. Okta, Auth0, JumpCloud and Cognito handle sign-in, and the gateway enforces it at the edge.

Table of Contents

• What an API gateway does, and how it differs from a proxy
• How to evaluate an API gateway
• The leading API gateways compared
• Open-source API gateways: what you gain and what you run
• Comparing API gateway pricing
• API gateways for AI and LLM workloads
• SSO and identity providers: the other half of the stack
• Which gateway fits which team
• Our perspective
• Building an AI gateway you own
• FAQ
• Sources

What an API gateway does, and how it differs from a proxy

An API gateway is a server that acts as the single entry point for client requests to your backend services. It handles authentication, rate limiting, load balancing, request transformation and observability in one place, so each service does not have to.

A plain reverse proxy forwards traffic. A gateway adds API-aware policy on top: who is calling, how often, with which credentials, and what the response should look like. In practice the line is blurry, because products such as Kong are built on NGINX and Envoy-based projects act as both.

If you handle regulated data, the gateway also becomes a control point. Canadian government guidance, for example, says internet-facing APIs must use gateways and proxies instead of IP whitelists. The same guidance advises defense in depth, applying OWASP controls across the whole API implementation even when a gateway sits in front. A gateway is one layer, not the whole security model.

How to evaluate an API gateway

Before reading any vendor page, answer five questions. They narrow the field faster than any feature matrix.

1. Where does it run? Fully managed in one cloud, self-hosted on Kubernetes, or hybrid across several clouds.
2. Who operates it? Managed services trade control for less work. Self-hosted gives you plugins and configuration depth, but you carry the scaling and maintenance.
3. What protocols do you expose? REST only, or also gRPC, SOAP, GraphQL, WebSocket and event streams.
4. How will cost grow? Per-call pricing is cheap at low volume and can climb quickly. Flat pricing is predictable but may overpay early.
5. Do you need AI traffic controls? If LLM calls pass through the gateway, token-aware features matter.

The leading API gateways compared

The table summarizes the options most buyers shortlist. Capabilities come from each vendor’s own documentation or from the comparison sources linked in the sections below.

Kong Gateway

Kong is a lightweight, cloud-native gateway built on NGINX for hybrid and multi-cloud environments. Security, authentication, transformation and analytics arrive through plugins, and Kong reports more than 50K transactions per second per node. You can choose open source, Enterprise or the Konnect hosted offering, which makes it a common first shortlist entry when you want to avoid tying the gateway to one cloud.

Apigee

Apigee is Google Cloud’s native API management platform. Its proxy layer covers security, rate limiting, quotas and analytics, and supports REST, gRPC, SOAP and GraphQL. It fits organizations that want a full lifecycle program, with developer portals and monetization, rather than just traffic routing.

Amazon API Gateway

AWS describes API Gateway as a fully managed service for REST, HTTP and WebSocket APIs, with authorization, throttling, CORS, monitoring, versioning and developer portals. There are no minimum fees or startup costs. If your backend is Lambda or other AWS services, it is the shortest path to production.

Azure API Management

Azure API Management covers publication, security, usage plans, quotas, payload transformation, throttling and analytics. It is sold in hourly tiers named Developer, Basic, Standard and Premium, plus a self-hosted gateway option billed per deployment. Check Microsoft’s US pricing page for current dollar figures, since prices are country-specific.

Tyk, Apache APISIX, Envoy Gateway, Traefik and KrakenD

These are the names that dominate open-source shortlists. Apache APISIX is a Lua-based gateway governed by the Apache Software Foundation, with hot configuration through etcd. Envoy Gateway is a CNCF project that implements the Kubernetes Gateway API on top of Envoy. KrakenD is stateless and distributed, configured from a single binary and configuration file, with aggregation, OpenTelemetry integration, GitOps operation and connectors for REST, Kafka, gRPC, SOAP, Lambda and more. Its paid plans advertise unlimited requests and flat pricing.

Open-source API gateways: what you gain and what you run

Open-source gateways such as APISIX, Kong OSS, Tyk OSS and Traefik give you deep control over configuration and plugins. They run on Kubernetes, Docker, virtual machines or bare metal. The price of that freedom is that your team manages upgrades, scaling and monitoring.

A simple test: if nobody on your team can be paged for the gateway at 2 a.m., choose a managed option or a vendor-supported edition. If you already run Kubernetes with a platform team, an Envoy-based or APISIX deployment is realistic.

Self-hosting also matters for data control. When prompts or customer records cross the gateway, running it in your own environment means traffic never leaves infrastructure you govern. That is the logic behind most regulated deployments.

Comparing API gateway pricing

Gateway pricing falls into four models: per call, per environment, per service or gateway, and flat-rate subscription. Vendors often combine them. Cloud-managed gateways like AWS and Azure lean on per-request or consumption fees, while Apigee and Kong Enterprise lean on tiered subscriptions and negotiated contracts. For self-hosted open source, the main cost is operations time.

AWS publishes request pricing that reaches $0.90 per million requests at the highest tier, plus data transfer and other AWS charges. That looks tiny until you multiply it by billions of calls and add logging, caching and egress.

To compare fairly:

• Estimate monthly requests, average payload size and number of environments (dev, staging, production).
• Add the cost of the people who will run it, including on-call time.
• Model a 3x traffic spike. Per-call models move; flat models do not.
• Include monitoring. A gateway you cannot observe is a risk, and network monitoring pricing often runs well beyond the headline fee.

API gateways for AI and LLM workloads

Traditional gateways count requests. AI traffic needs counting in tokens. Buyers should check for token-based rate limiting, multi-provider model routing, semantic caching, prompt-injection defense, cost controls and observability.

Token-based limiting caps consumption by tokens processed, with limits set per user, application or time window. This stops one runaway agent from consuming a whole month’s budget in an afternoon. Related capabilities, such as model routing, token metering, semantic caching and budget controls, are now appearing across vendors, with Kong, Cloudflare, Portkey and LiteLLM among the names commonly compared.

For firms in finance, healthcare, legal or insurance, add two requirements: an audit trail for every model call, and the ability to run the model and gateway inside your own boundary. Our posts on AI security architecture for regulated firms and on gateway-first private GPT deployment go deeper on both.

SSO and identity providers: the other half of the stack

Many readers comparing gateways are also choosing who authenticates users. The gateway enforces tokens; an identity provider issues them. The common candidates are Okta, Auth0, JumpCloud, Microsoft Entra ID (formerly Azure AD) and Amazon Cognito.

• Okta is primarily workforce identity, with SSO starting at $2 per user per month. Published list prices are starting points, and contracts can be negotiated.
• Auth0 is a developer-focused platform for customer identity, priced by monthly active users. That is the core of the Okta versus Auth0 decision: employees versus customers.
• JumpCloud bundles directory services, SSO, MFA and device management for smaller organizations, with its Platform tier starting at $9 per user per month.
• Microsoft Entra ID is the natural choice when your workforce already lives in Microsoft 365 and Azure.
• Amazon Cognito is the AWS-native option and pairs directly with Amazon API Gateway authorizers.

Pick the identity provider by who signs in (staff or customers) and where your APIs run. Then confirm your chosen gateway can validate its tokens through standard OAuth 2.0 and OpenID Connect.

Which gateway fits which team

• All-in on AWS, mostly serverless: Amazon API Gateway, with Cognito for sign-in.
• Microsoft estate: Azure API Management with Entra ID.
• Google Cloud, formal API program: Apigee.
• Multi-cloud or hybrid: Kong, Tyk or KrakenD.
• Kubernetes platform team: Envoy Gateway, APISIX or Traefik.
• Regulated firm adding AI to client work: a self-hosted gateway in front of private models, with audit logging by design.

Our perspective

Most gateway comparisons end at a feature table. In regulated work, the harder question is who owns the system once it is running.

We see firms rent three or four tools, wire them together, and discover that client data now flows through vendors they never assessed. A gateway in front of a language model should be the place where policy lives: what may be sent, who sent it, what came back, and a record that an auditor can read.

That is why we build gateway-first. Our team comes from regulated backgrounds including ISO 27001, pharma and finance, and we deploy private and self-hosted models so your data stays under your control. You bring the domain expertise and the client base. We build the system around it, and you own it.

Choose any gateway on the list above if it fits your stack. Just make sure the controls around it are yours.

Matevz

Building an AI gateway you own

If you run a law, accounting, insurance, healthcare or consulting firm, the gateway is rarely the real project. The real project is automating your delivery with AI without losing control of client data. That is what we do: we build AI-native systems for regulated industries, with compliance, security frameworks and audit trails included, EU-based and with private or self-hosted LLM deployment.

Our approach is to invest in firms rather than sell isolated AI projects. Benchmarked puts roughly €50,000 of engineering into an established service business on a revenue-share or equity basis.

See how this works in our AI OS, or look at the partnership and venture modes to find the engagement that fits your firm.

FAQ

What are the leading API gateways?

The names that appear most often are Kong, Apigee, Amazon API Gateway, Azure API Management, Tyk, Apache APISIX and Traefik. They differ mainly in deployment model, extensibility, operational burden and pricing, so the best one is the one that matches your stack.

Does an API gateway support rate limiting?

Yes. Rate limiting, quotas and throttling are standard in the major gateways, including Apigee and Amazon API Gateway. For AI traffic, look for token-based limits that you can set per user, application or time window.

What is the difference between an API gateway and a proxy?

A proxy forwards traffic. A gateway is a single entry point that also applies API-level policy such as authentication, rate limiting, request transformation and observability. Many gateways are built on proxy technology such as NGINX or Envoy.

Should I choose an open-source API gateway?

Choose open source when you want deep control over configuration and plugins and have a team to run upgrades, scaling and monitoring. Choose a managed or supported edition when you do not. Either way, include operations time in your cost comparison.

Sources

• API Gateway Comparison 2026: Top Platforms, API7.ai
• Kong Gateway, Kong Inc.
• What is Apigee? Google Cloud Documentation
• Amazon API Gateway, Amazon Web Services
• API Management Pricing Details, Azure
• KrakenD open source API gateway
• API management landscape, APIM One
• Guidance for Application Programming Interface gateways, Government of Canada
• Best API Gateways for AI and LLM Workloads, Zuplo
• API Gateway Pricing Compared, Zuplo
• Best SSO Solutions 2026, BizTechScout
• Best IAM Solutions 2026, BizTechScout
• Network Monitoring Pricing, Netverge

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• Private GPT for Enterprises: Gateway First Deployment in One Engineer Week