Cloudflare AI Gateway vs Envoy AI Gateway
Cloudflare AI Gateway
cloudflare.comEnvoy AI Gateway
aigateway.envoyproxy.ioSide by side
| Figure | Cloudflare AI Gateway | Envoy AI Gateway |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · LLM Gateway Software | 8.7 (#5) | 8.4 (#8) |
| Spec score · LLM gateways | 7.9 (#18) | 8.4 (#10) |
| Founded | 2009 | 2024 |
| Provider integrations | Native provider routes include Workers AI, Amazon Bedrock, Anthropic, Azure OpenAI, Baseten, Cartesia, Cerebras, Cohere, Deepgram, DeepSeek, ElevenLabs, Fal, Google AI Studio, Google Vertex, Groq, Hugging Face, Ideogram, Mistral, OpenAI, OpenRouter, Parallel, Perplexity, Replicate and xAI. | The site lists integrations including Anthropic, AWS Bedrock, Azure OpenAI, Cohere, DeepInfra, DeepSeek, Google Gemini, Grok, Groq, Mistral, OpenAI, Together AI, and Vertex AI. |
Plans
Cloudflare AI Gateway
- AI Gateway corePriced on request
- AI Gateway coreFree
- Cloudflare AI Gateway listingPriced on request
In their own words
Cloudflare AI Gateway
Cloudflare AI Gateway has no write-up on Specifiction yet; its figures are above.
Envoy AI Gateway
Envoy AI Gateway, now named Agent Router, is an open-source control plane for managing AI and agent traffic through Envoy. It provides an OpenAI-compatible API for hosted and self-hosted models and MCP servers, with integrations for providers including OpenAI, Azure OpenAI, Google Gemini, AWS Bedrock, Mistral, and Anthropic. Traffic controls include model virtualization, provider failover, token quotas, and usage-based rate limiting. Its MCP gateway supports server multiplexing, tool routing, OAuth authentication, and observability; InferencePool support adds routing and load balancing for inference endpoints. Credentials can be managed centrally, and supported short-lived credential flows include AWS Bedrock, Azure OpenAI, and GCP Vertex AI. The project describes metrics collection and monitoring for AI workloads. The free open-source project is listed at free. Its CLI supports local use on Linux and macOS; production Kubernetes deployment uses Envoy Gateway and requires compatible dependencies. The project uses the Apache 2.0 license and points users to Discord and GitHub issues for help.