LLM Gateway Chat
LLM Gateway Chat is a unified API gateway that routes LLM requests across OpenAI, Anthropic, Google, and 40+ providers with one endpoint for chat, image, video and audio.
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What is LLM Gateway Chat?
LLM Gateway Chat is an open-source API gateway for large language models that sits between your applications and multiple providers. It gives you a single OpenAI-compatible endpoint so you can route requests across many models without rewriting your code.
Its main value is centralized control. You can manage API keys in one place, monitor token usage and spend in real time, and see latency, error rates, and provider breakdowns for each request.
The product also focuses on routing and optimization. It can intelligently pick providers or models, cache identical requests to reduce cost and latency, and help you compare model performance side by side.
Beyond core chat completions, it supports adjacent AI workflows like image generation, video generation, web search, and reasoning-capable models. It is aimed at developers, teams, and enterprises that use multiple LLM providers and want simpler operations, better observability, and easier cost control.
LLM Gateway Chat pricing
Pricing model: Freemium
The website says there is a free tier included, no credit card is required, and setup takes about 30 seconds. The homepage does not list detailed paid plan prices, but it does mention enterprise licensing for larger deployments. The documentation and homepage emphasize usage through a hosted version, with self-hosting also available for teams that want full control over infrastructure and configuration.
LLM Gateway Chat pros
- Single API for many providers
- OpenAI-compatible interface
- Routes across 400+ models
- Supports 40+ providers
- No code changes when switching providers
- Centralized API key management
- Real-time cost tracking
- Latency monitoring per request
- Token usage tracking
- Error rate visibility
- Intelligent provider routing
- Caching for identical requests
- Image generation support
- Video generation support
- Web search support
- Reasoning-model support
- Works with AI agents and developer tools
- MCP server support
- Self-hosting option
- Free tier included
- No credit card required to start
- Fast setup in about 30 seconds
- SOC 2 Type II certified
LLM Gateway Chat cons
- Focused on API users, not end users
- Requires integration into an application
- Best value depends on multi-provider usage
- Advanced features may need dashboard setup
- Caching only helps repeated requests
- Provider coverage still depends on upstream vendors
- Video features are async and may add complexity
- Self-hosting adds infrastructure overhead
- Enterprise licensing may require direct contact
- Pricing details are not fully spelled out on the homepage
Frequently asked questions about LLM Gateway Chat
What is LLM Gateway?
LLM Gateway is an open-source API gateway for large language models. It sits between your app and providers like OpenAI, Anthropic, and Google AI Studio, giving you one unified, OpenAI-compatible API to route requests, manage keys, and track usage.
How does provider routing work?
LLM Gateway can intelligently route requests to the best available model or provider. The idea is that you keep one integration while the gateway decides where the request should go, which helps when you use multiple providers or want fallback flexibility.
Does it work with existing OpenAI-style code?
Yes. The website and docs say it uses an OpenAI-compatible API, so existing code can usually keep the same request format while you change the base URL and API key to point to LLM Gateway.
What observability features does it provide?
It tracks cost per request, token usage, latency, error rates, and provider breakdowns. The dashboard is meant to show exactly what each call costs and how different models perform in practice.
Can it reduce API costs?
Yes. The product highlights cost tracking, model comparison, and caching of identical requests. These features are meant to help you find better price-performance options and avoid paying repeatedly for the same prompt.
Does it support more than chat completions?
Yes. The docs mention image generation, video generation, web search, and reasoning-capable models in addition to the core chat completions endpoint.
Is there a hosted version?
Yes. The GitHub README and website describe a hosted version available through llmgateway.io, which lets you sign up, create a project, and start using an API key without managing your own infrastructure.
Can I self-host LLM Gateway?
Yes. The project supports self-hosting on your own infrastructure, which is positioned as the option for teams that want full control over data, configuration, and deployment.
Does it integrate with AI development tools?
Yes. The docs mention an MCP server for tools like Claude Code and Cursor, plus machine-readable docs formats, templates, and agent configurations designed for AI coding workflows.
What is the fastest way to get started?
The quickstart says to sign in, create a project, copy the API key, and point your requests to https://api.llmgateway.io/v1/. The site also says setup takes about 30 seconds and that you can start on the free tier without a credit card.