Orq.ai vs TensorZero
Orq.ai
orq.ai
TensorZero
tensorzero.comSide by side
| Figure | Orq.ai | TensorZero |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · LLM gateways | 7.9 (#15) | 8.6 (#7) |
| Spec score · LLM Gateway Software | 7.7 (#18) | 8.0 (#13) |
| Deployment | Listed deployment options include EU SaaS, VPC, and on-premises. | The gateway can be deployed with Docker, Docker Compose, Kubernetes using a reference Helm chart, or built from source with Cargo. |
| Integrations | The pricing page lists compatibility with OpenAI and Anthropic APIs, Python and Node SDKs, remote MCP servers, Azure AI Foundry, Vertex AI, and OpenAI-compatible model endpoints. | Documented providers include Anthropic, AWS Bedrock, Azure, Google, OpenAI, OpenRouter, Together AI, vLLM, and OpenAI-compatible endpoints. |
| Observability | Orq.ai provides request traces, cost and token tracking, dashboards, and OpenTelemetry ingestion. | TensorZero can store inference and feedback data for observability, optimization, evaluations, and experimentation in Postgres or ClickHouse. |
| Support | The pricing page lists email support with priority SLA and a Slack or Teams channel as a Teams add-on; Enterprise includes Slack/Teams support. | The project README directs users to Slack or Discord and offers work teams a Slack or Teams channel by email. |
Plans
In their own words
Orq.ai
Orq.ai is an AI gateway and platform for routing, governing and observing requests to models and tools. Through an OpenAI-compatible API, it lists more than 500 models from over 30 providers. Smart Router can select models by cost or quality strategy, with fallbacks, retries and load balancing. Controls include budgets, spend limits, guardrails and PII redaction. Observability covers request traces, cost and token tracking, dashboards and OpenTelemetry ingestion. Integrations include OpenAI and Anthropic APIs, Python and Node SDKs, remote MCP servers, Azure AI Foundry, Vertex AI and compatible endpoints. It supports Claude Code, Cursor, Codex and more than 25 agent frameworks. Deployment options are EU SaaS, VPC and on-premises. Orq.ai says prompts, outputs and traces are not used to train models, and lists EU residency and retention controls. Pay-as-you-go is free, usage-based, with provider-rate model charges and stated allowances.
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.