Eden AI vs TensorZero

Eden AI provides a unified API for accessing AI models from multiple providers, with more than 500 models listed on its homepage. Providers named include OpenAI, Mistral, Gemini, and Claude. Its specialized capabilities include OCR, speech, vision, and translation, among other tasks. Teams can compare providers by price, performance, and processing region; automatic fallback can respond when a provider fails or reaches its limits. Integrations listed include LangChain, Haystack, n8n, Make, Zapier, Bubble, and the OpenAI Python and TypeScript/JavaScript SDKs. Eden AI says it is SOC 2 and ISO 27001 certified and offers zero data retention by default. Its DPA says prompts and outputs are processed transiently, not stored by default, and customer data is not used to train models or sold. A dedicated EU endpoint is available for eligible workloads, depending on compatible providers and models. The AI API Gateway has no subscription, but API calls are billed at provider prices; a 5.5% platform fee applies when purchasing credits. The self-serve plan includes chat support with a 48-hour response time on working days. Advanced AI Platform pricing is custom and requires contacting sales. Eden AI was founded in 2021 and is headquartered in Lyon, France.

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 The project is available on GitHub, but is no longer maintained; its repository is archived and read-only.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.