Running multiple LLM providers in production is messy — rate limits, outages, vendor lock-in. An LLM gateway gives you a unified API, fallback routing, and observability. We compared LiteLLM, Kong AI Gateway, Helicone, and Cloudflare AI Gateway to find the best fit for your stack.
If you're building a production app that calls OpenAI, Anthropic, Google, or any of the other LLM providers directly, you've probably felt the pain. Each provider has its own SDK, its own rate limits, its own error formats, and its own uptime track record. One provider goes down and your app goes with it. You're also locked into whatever pricing and models they offer today — switching later means rewriting integration code across your entire codebase.1
An LLM gateway sits between your app and the providers. It exposes a single API (often OpenAI-compatible) and handles routing, retries, fallbacks, rate limiting, caching, and logging. Think of it like an API gateway for your microservices, but purpose-built for language models.2
| Pick | Best For | Provider Support | Deployment | Key Strength |
|---|---|---|---|---|
| LiteLLM | Versatility | 100+ providers | SDK / Proxy / Docker | Broadest provider coverage |
| Kong AI Gateway | Enterprise | 10+ providers | Plugin / Proxy | Governance & security |
| Helicone | Observability | 20+ providers | Proxy / Cloud | Deep request logging |
| Cloudflare AI Gateway | Edge Performance | 10+ providers | Edge Proxy | Low-latency caching |
If you want to support as many providers as possible with minimal code changes, LiteLLM is the pick. It supports over 100 LLM providers through a single OpenAI-compatible interface, which means you can swap out models with a one-line config change.1
You can run it as a Python SDK, a proxy server, or a Docker container. It handles automatic retries, rate limit management, and cost tracking out of the box. For teams that want to experiment across providers without committing to one, this is the most flexible option available.2
Bottom line: If you're a developer team that values provider flexibility and wants to avoid lock-in, start here.
Kong's AI Gateway builds on top of their existing API gateway infrastructure. If your organization already uses Kong for API management, adding AI gateway capabilities is a natural extension. It provides centralized governance, security policies, and traffic routing for LLM calls across your organization.1
It supports provider fallbacks, request transformation, and detailed access controls — critical for enterprises that need to audit and control which teams use which models. The trade-off is that it's heavier to set up than a lightweight proxy, and it supports fewer providers than LiteLLM.2
Bottom line: Best for enterprises that already run Kong or need strict governance over AI API usage.
Helicone is built for teams that need deep visibility into their LLM usage. It provides per-request logging, cost tracking, latency analysis, and custom alerting — all through an OpenAI-compatible proxy that you can self-host or use as a cloud service.1
If you're trying to understand why your costs are spiking or which prompts are triggering the most tokens, Helicone gives you the data. It also supports caching and rate limiting, but its superpower is observability. It integrates with existing monitoring tools and provides dashboards that make debugging LLM calls much easier.2
Bottom line: Choose Helicone when observability and cost tracking are your top priorities.
Cloudflare's AI Gateway runs on their global edge network, which means requests get routed through the nearest data center for lower latency. It supports caching responses at the edge, so repeated identical prompts (common in production) get served instantly without hitting the upstream provider.1
It also handles rate limiting, usage alerts, and provider fallbacks. Because it's Cloudflare, you get DDoS protection and the reliability of their global network. The main limitation is provider coverage — it supports the major ones but not the long tail of niche providers.2
Bottom line: Ideal for high-traffic apps where every millisecond of latency matters and you're already in the Cloudflare ecosystem.
All four of these gateways solve the same core problem — unifying LLM provider access — but they optimize for different things:
The good news is that most of these are open-source or have generous free tiers, so you can try them before committing. In production, an LLM gateway isn't just a nice-to-have — it's the difference between your app breaking when a provider goes down and your app gracefully falling back to another model without anyone noticing.
Disclosure: Some of the links on this page are affiliate links. We only recommend tools we've researched and believe provide genuine value.
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