One OpenAI-compatible API to route, monitor and control 250+ LLM models
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, LLM Gateway (llmgateway.io) is an AI platform indexed under AI API generating 168.43K monthly visits with a month-over-month traffic delta of -28.46K (-14.5%). Its primary geographic market is South Korea (18.1% traffic share), and it operates on a Freemium, Contact for Pricing pricing model. Top competing alternatives by monthly volume include OpenRouter (19.94M visits/mo), LiteLLM (576.97K visits/mo), Portkey (195.65K visits/mo).
Routing 250+ models with zero code changes is an absolute lifesaver.
Saved us from API key chaos across the engineering team.
Open source self-hosting makes compliance trivial.
Initial container setup took a bit of fiddling.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Keep your existing OpenAI SDK code and change only the base URL to reach 250+ models from 40+ providers through one integration.
If a provider errors, times out or rate-limits, the gateway can retry up to twice on another provider within the same request, so your app still gets a response.
Track requests, tokens, total spend and average cost per 1K tokens, plus per-model and per-provider breakdowns, cache hit rates and error monitoring.
Detect prompt injection, jailbreak attempts, PII, card numbers and secrets, then block, redact or warn; manage all provider keys in one scoped dashboard.
Run the AGPLv3 open-source gateway on your own Docker or Kubernetes infrastructure, or let the vendor host it as managed cloud with an SLA.
The core problem LLM Gateway solves is provider sprawl: separate API keys, separate dashboards, and code that breaks whenever you switch models. With the gateway in place, a single request can be routed to 250+ models across 40+ providers, and switching a model is often a one-string change. It ships with an AI SDK provider plus compatibility with any OpenAI SDK, cURL or language client, and supports chat completions, responses and image generation endpoints.
Beyond routing, the gateway is a control plane. Teams get unified key management, spend caps per API key or member, automatic failover that retries on another provider within the same request when a provider errors or rate-limits, and guardrails such as prompt-injection detection and PII redaction so sensitive data can be caught before a provider sees it. A dashboard covers requests, tokens, cost per 1K tokens, latency, error rates, cache hit rates and per-model/per-provider breakdowns, with audit logs and SSO on Enterprise.
Deployment is flexible: it can be run by the vendor as managed cloud with an SLA, or self-hosted via Docker or Kubernetes on your own infrastructure, which is what makes it attractive to privacy-sensitive teams. The core gateway is open source under AGPLv3, with source-available enterprise features. The company reports SOC 2 Type II compliance, and pricing starts with a bring-your-own-keys free tier, a small markup on credit top-ups for pay-as-you-go usage, and a custom Enterprise plan.
Avoid vendor lock-in by calling one endpoint and swapping models or providers as quality, price and availability change.
Set spend caps per key and member, break costs down by project, model and provider, and catch expensive outliers before the invoice arrives.
Redact PII and secrets before requests reach a provider, and keep audit logs of key, role and policy changes for compliance.
Deploy the open-source gateway on your own infrastructure so prompts and responses stay under your control.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | LLM Gateway | 168.43K | -14.5% | 59% direct | Freemium, Contact for Pricing | Current |
| 1 | OpenRouter Offers broader multi-provider model routing with instant top-ups, but lacks self-hosted deployment flexibility. | 19.94M | -6.2% | 60% direct | Paid | vs OpenRouter |
| 2 | LiteLLM Provides a robust open-source proxy and Python SDK for multi-LLM routing, but requires self-hosting infrastructure. | 576.97K | +7.9% | 40% direct | Freemium, Contact for Pricing | vs LiteLLM |
| 3 | Portkey Delivers advanced enterprise observability, caching, and guardrails, but focuses more on production monitoring than raw routing. | 195.65K | -9.4% | 62% direct | Freemium, Paid, Contact for Pricing | vs Portkey |
| 4 | OrcaRouter Features adaptive LLM routing and automatic failover, but has a smaller ecosystem than established aggregators. | 975.3K | -5.2% | 26% direct | Freemium | vs OrcaRouter |
| 5 | ZenMux Unifies access to 100+ frontier models with built-in chat UI, but offers fewer enterprise compliance integrations. | 444.39K | +16.7% | 52% direct | Freemium, Paid | vs ZenMux |
| 6 | Helicone Specializes in deep LLM observability and caching proxy features, but requires additional setup for complex routing. | 57.19K | -25.2% | 31% direct | Freemium, Free Trial, Paid, Contact for Pricing, Free | vs Helicone |
Offers broader multi-provider model routing with instant top-ups, but lacks self-hosted deployment flexibility.
Offers broader multi-provider model routing with instant top-ups, but lacks self-hosted deployment flexibility.
Free / Open-sourceProvides a robust open-source proxy and Python SDK for multi-LLM routing, but requires self-hosting infrastructure.
Delivers advanced enterprise observability, caching, and guardrails, but focuses more on production monitoring than raw routing.
Delivers advanced enterprise observability, caching, and guardrails, but focuses more on production monitoring than raw routing.
Features adaptive LLM routing and automatic failover, but has a smaller ecosystem than established aggregators.
Features adaptive LLM routing and automatic failover, but has a smaller ecosystem than established aggregators.
Unifies access to 100+ frontier models with built-in chat UI, but offers fewer enterprise compliance integrations.
Unifies access to 100+ frontier models with built-in chat UI, but offers fewer enterprise compliance integrations.
SpecialistSpecializes in deep LLM observability and caching proxy features, but requires additional setup for complex routing.
SpecialistSpecializes in deep LLM observability and caching proxy features, but requires additional setup for complex routing.
Free / Open-sourceOpen-source gateway focused on automatic request repair and model fallbacks, but with a smaller community ecosystem.
Free / Open-sourceOpen-source gateway focused on automatic request repair and model fallbacks, but with a smaller community ecosystem.
Free / Open-sourceCombines an open-source AI gateway with developer portal lifecycle management, but is heavier to set up.
SpecialistOpen-source AI gateway with observability and evals built in
One API gateway and LLM router for around 1,000 AI models
