Routerly vs TensorZero
Routerly
routerly.ai
TensorZero
tensorzero.comSide by side
| Figure | Routerly | TensorZero |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · LLM gateways | 8.0 (#14) | 8.6 (#7) |
| Spec score · LLM Gateway Software | 7.8 (#16) | 8.0 (#13) |
| Deployment | The maker provides Docker and installer-based deployment, and says the installer supports Windows, macOS, and Linux. | The gateway can be deployed with Docker, Docker Compose, Kubernetes using a reference Helm chart, or built from source with Cargo. |
| Integrations | The site names Cursor, Open WebUI, OpenClaw, LangChain, and LlamaIndex as clients or frameworks that can connect to Routerly. | Documented providers include Anthropic, AWS Bedrock, Azure, Google, OpenAI, OpenRouter, Together AI, vLLM, and OpenAI-compatible endpoints. |
| Product | Routerly is a self-hosted gateway between applications and AI providers that routes requests, tracks costs, and enforces budgets. | TensorZero is an open-source platform that combines an LLM gateway, observability, evaluation, optimization, and experimentation. |
| Security | The documentation says provider API keys and project tokens are AES-256 encrypted at rest, and user passwords are bcrypt-hashed. | TensorZero's privacy policy says it uses physical, technical, organizational, and administrative security measures to protect personal data. |
Plans
In their own words
Routerly
Routerly is a self-hosted gateway for directing application requests to AI providers, tracking usage costs, and applying budgets. Its routing engine can use up to nine configurable policies, covering model choice, cost, provider health and performance, capability and context, budgets, rate limits, and fairness. It supports OpenAI and Anthropic wire formats, including streaming, so compatible clients can connect by changing the base URL. Listed providers include OpenAI, Anthropic, Google Gemini, Ollama, Mistral, Cohere, xAI, and custom HTTP endpoints. Per-token costs can use built-in pricing presets or custom model prices. Budgets can measure cost, calls, or token usage globally, per project, or per token, over rolling or calendar windows. Projects can have separate bearer tokens, model pools, routing configurations, and budget limits. Routerly stores configuration and usage records in JSON files without requiring an external database. It can be deployed with Docker or an installer. The self-hosted plan costs nothing, carries the AGPL-3.0 license, and adds no markup to API calls.
TensorZero
TensorZero is a free, open-source stack that brings together an LLM gateway, observability, optimization, evaluation, and experimentation. Its gateway provides a unified API for model providers and supports routing, retries, fallbacks, prompt templates, schemas, multi-step workflows, and traffic routing for A/B tests. Documented integrations include Anthropic, AWS Bedrock, Azure, Google, OpenAI, OpenRouter, Together AI, vLLM, xAI, and OpenAI-compatible endpoints. Inference and feedback data go to the database you configure, where they can be queried with SQL; feedback can be tied to individual inferences or episodes. The gateway and UI can run through Docker, Docker Compose, Kubernetes and Helm, or a source build. API key authentication is available for gateway endpoints other than status and health checks. The project is available on GitHub, but is no longer maintained; its repository is archived and read-only. TensorZero is self-hosted and licensed under Apache 2.0. It collects pseudonymous aggregate usage analytics, excluding application data and inference inputs and outputs, with an option to disable collection.