Built-in providers
Built-in providers are public AI APIs with a known model catalog: OpenAI, Anthropic, Google, Groq, and others listed in the model catalog. You can send requests with an access key. Your access key authenticates you to the gateway, not to the upstream provider. For many built-in providers, including OpenAI, Anthropic, Google, and DeepSeek, the AI Gateway can supply the provider credentials when you have credits. The model catalog shows which providers support it. You aren’t required to have your own provider account or provider API keys—the AI Gateway handles upstream authentication and bills model cost through credits. For providers you can’t pay for with credits, bring your own provider key. Model costs go to your provider account; credits still cover the gateway processing fee. This is generally referred to as BYOK (bring your own key).OpenAI
GPT and o-series models. Pay with credits.
Anthropic
Claude models. Pay with credits. Supports both OpenAI and Anthropic SDK formats.
OpenRouter
Access hundreds of models from multiple providers through a single API.
Gemini models from Google AI Studio. Pay with credits.
Groq
LPU-accelerated inference for open-source models (GPT-OSS, Llama 4, Qwen3).
DeepSeek
High-performance reasoning and chat models. Pay with credits.
Hyperbolic
Open-source model hosting with high-performance inference.
InceptionLabs
Diffusion-based language models for fast text generation.
Inference.net
Distributed inference network for AI models at scale.
xAI
Grok models. Pay with credits.
Mistral AI
Models served by Mistral AI. Bring your own key.
Moonshot AI
Kimi models. Pay with credits.
Z.ai
GLM models. Pay with credits.
QwenCloud
Qwen models and other open models. Pay with credits.
MiniMax
MiniMax models. Pay with credits.
Tencent TokenHub
Models from Tencent, DeepSeek, Moonshot AI, Z.ai, MiniMax, and more. Pay with credits.
Typesafe AI
System One models that answer typed questions. Pay with credits.
Custom providers
Custom providers are upstream endpoints you define, such as self-hosted Ollama or vLLM, a private deployment, or any OpenAI- or Anthropic-compatible API that isn’t in the built-in catalog. See Use a model you run yourself. Custom providers require a provider key when the upstream needs authentication. See Custom providers for the concept.Ollama
Run open-source models locally with Ollama.
vLLM
High-performance inference server.
LM Studio
Desktop app for local model inference.
Azure OpenAI
Microsoft’s OpenAI service on Azure.
How provider selection works
When a request arrives, the gateway determines which provider to use:- Explicit provider prefix: if the model name includes a provider prefix (for example,
openai:gpt-4ooropenrouter:anthropic/claude-3.5-sonnet), that provider is used - Catalog lookup: the gateway looks up the model ID in its catalog to find the default provider
- Request selection: model names and fallback lists can override the default
Next steps
- Model Catalog: browse all available models by provider
- Bring Your Own Keys: add provider keys for built-in and custom providers
- Multi-provider failover: automatic failover across providers