A practical guide for teams extending API gateway infrastructure to LLM APIs, AI agents, AI proxying, LLM load balancing, token rate limiting, retry and fallback, MCP support, security, and observability.
Use this page as a decision guide, not a universal ranking. Validate any recommendation with a proof of concept that uses your own routes, policies, identity providers, logs, and deployment workflow.
Evaluation criteria
The right gateway depends on runtime behavior, operational model, extensibility, and how much of the stack your team wants to own.
Start with what runs in the request path. A gateway runtime, API management suite, ingress controller, service mesh proxy, and reverse proxy have different jobs.
For an Apache project website, the most important question is what a team can evaluate, deploy, modify, and operate from open source.
Compare how each option fits Kubernetes, identity providers, observability, CI/CD, GitOps, and cloud networking.
Comparison matrix
This matrix summarizes practical differences using official documentation and publicly available project pages.
| Criterion | Apache APISIX | Other AI gateway options |
|---|---|---|
| Primary goal | Use APISIX AI Gateway to manage traffic between applications, AI agents, and LLM providers through an open-source gateway layer. | Managed API management platforms may package AI gateway capabilities with cloud identity, portal, analytics, and policy workflows. |
| LLM traffic concerns | Evaluate AI proxying, LLM load balancing, retry and fallback, token rate limiting, MCP support, authentication, logging, and upstream resilience. | Each platform should be tested for model provider support, policy granularity, observability, and operational ownership. |
| Open-source fit | APISIX keeps the evaluation centered on open-source gateway infrastructure. | Other options may be cloud-managed, separately packaged, or broader API management suites. |
Alternative shortlist
AI gateway evaluation is still evolving. Use official documentation and a proof of concept with real LLM providers, token limits, fallback behavior, MCP tools, logs, and security controls.
Apache APISIX is an Apache 2.0 open-source API gateway for dynamic routing, plugin-based policy, observability, and APISIX AI Gateway capabilities.
Google Cloud Apigee is commonly evaluated as a Google Cloud API management platform.
Azure API Management is commonly evaluated as a Microsoft Azure API management service.
Kong Gateway is commonly evaluated as a cloud-native API gateway and API platform ecosystem.
Tyk is commonly evaluated as a API gateway and API management platform.
Decision guide
Start with use case fit, then test the highest-risk policies and rollout path before committing to a production change.
You need an Apache 2.0 open-source API gateway with dynamic routing, a broad plugin hub, Apache APISIX Ingress Controller, and APISIX AI Gateway capabilities.
Another product may fit better when your main requirement is managed cloud convenience, a full API management suite, ingress-only routing, or service mesh data-plane control.
Open-source next steps
Move from evaluation to hands-on testing with documentation, plugins, Kubernetes resources, GitHub, and community channels.
Related guides
Use these related pages to move from broad comparison to alternatives or APISIX evaluation.
Browse comparison and alternative guides for Apache APISIX evaluation.
A broad decision guide for comparing API gateways, API management platforms, ingress controllers, service mesh proxies, and reverse proxy foundations.
Compare open-source and source-available gateway options by architecture, Kubernetes fit, extensibility, and operating model.
Browse alternative pages for Kong, Tyk, Apigee, AWS API Gateway, NGINX, Traefik, Envoy, and Gravitee.
Source notes
This page uses official product documentation and project pages where possible. It avoids vendor benchmark claims unless a reader can verify them independently.
FAQ
No. The content is written for the Apache APISIX open-source website and focuses on public documentation, open-source fit, and practical evaluation criteria.
No. Use the table to shortlist options, then test real routes, authentication, rate limits, logs, failure handling, and deployment workflows.