LLM Gateway

Coding & Development AI Models & APIsFreemium

FreeStarting price

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About LLM Gateway

LLM Gateway provides a unified OpenAI-compatible API that enables developers and teams to route LLM requests across more than 25 providers, including OpenAI, Anthropic, and Google, without modifying existing integrations. The platform dynamically selects the optimal provider for each request, balancing factors such as cost, latency, and model performance to ensure consistent results. Real-time analytics track key metrics like token usage, response latency, and spending, allowing teams to monitor and optimize their LLM operations continuously. Governance features such as rate limiting and prompt-injection detection help enforce security and compliance policies across all interactions. LLM Gateway supports both managed cloud deployments and self-hosted setups under the AGPLv3 license, making it adaptable for prototyping, production workloads, and regulated environments. It is designed to eliminate vendor lock-in by abstracting provider-specific differences, enabling seamless switching between models or providers as needed. Common use cases include deploying chatbots, generating automated reports, and building multi-model applications that require flexibility and scalability. The platform is particularly valuable for teams seeking to optimize costs, maintain performance consistency, and ensure robust governance across diverse LLM integrations.

Key features

OpenAI-compatible API for drop-in integration
Dynamic routing across 25+ LLM providers
Real-time analytics on tokens, latency, and spend
Rate limiting and governance controls
Prompt injection and PII detection guardrails
Self-hosted or managed cloud deployment
Per-model and per-provider cost monitoring
Audit logs for higher-control environments
Free tier with 20 requests/minute
Enterprise plans with custom rate limits and SLA

Use cases

Building multi-model chatbots
Automating reports with cost tracking
Migrating between LLM providers with minimal code changes

Pros

Unified API compatible with OpenAI SDKs, enabling seamless integration with existing codebases
Supports 40+ providers and 200+ models, reducing vendor lock-in and enabling model switching
Real-time analytics for tokens, latency, and spend, with per-model/provider breakdowns
Automatic failover and high reliability (99.9999% effective uptime) across providers
Offers both managed cloud and self-hosted deployments under AGPLv3 license

Cons

Self-hosted deployment requires technical expertise to manage infrastructure
Enterprise features may be necessary for teams with strict compliance or scaling needs

Frequently asked questions about LLM Gateway

What makes LLM Gateway different from OpenRouter?

LLM Gateway offers full self-hosting under an AGPLv3 license, deeper real-time cost and latency analytics for every request, and the ability to bring your own provider API keys for free. It also provides flexible enterprise add-ons such as dedicated shards and custom SLAs.

What models does LLM Gateway support?

LLM Gateway supports over 200 models across more than 40 providers, including OpenAI, Anthropic, Google, and others. Users can search models by provider, name, ID, or alias directly within the platform.

What is LLM Gateway's uptime guarantee?

LLM Gateway provides an effective uptime of 99.9999% through automatic failover across multiple providers, reducing the risk of downtime compared to relying on a single provider.

How does the pricing model work?

LLM Gateway offers three ways to run: a free pay-as-you-go credits model with a flat platform fee, a free 'Bring Your Own Keys' option where you pay providers directly, and a free self-hosted deployment under AGPLv3.

Can I self-host LLM Gateway?

Yes, LLM Gateway can be self-hosted under the AGPLv3 license, allowing users to deploy the full routing layer on their own infrastructure for full control.

Does LLM Gateway support enterprise features?

Yes, LLM Gateway offers enterprise features such as SSO with SAML and OIDC, role-based access control, self-hosted or managed deployments with a 99.9% SLA, volume pricing, and white-label options.