Bifrost
7.6#3 in llm gateway softwareFree planFree planWebAPILinuxmacOS
VisitBifrost vs TensorZero
TensorZero
7.4#10 in llm gatewaysFree planFree planWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | Bifrost | TensorZero |
|---|---|---|
| Deployment | Bifrost can run as a self-hosted binary or through npx, Docker and Kubernetes, including private-cloud and disconnected environments. | The gateway and UI can be deployed with Docker, Docker Compose, or Kubernetes and Helm, or built from source. |
| Observability | Built-in observability includes OpenTelemetry support and a dashboard for request monitoring. | TensorZero can store inference and feedback data for observability, optimization, evaluations, and experimentation in Postgres or ClickHouse. |
| Product | Bifrost is an enterprise AI gateway and control plane for routing, governing, and securing AI traffic, including LLM calls, MCP tools, and agents. | TensorZero is described in its documentation as an open-source stack combining an LLM gateway, observability, optimization, evaluation, and experimentation. |
| Security | The security documentation describes Snyk dependency and code scanning, CodeQL analysis, Docker image scanning, and hardened non-root production containers. | TensorZero's privacy policy says it uses physical, technical, organizational, and administrative security measures to protect personal data. |
| Support | OSS includes documentation, community, and self-management support, while Enterprise offers SLA-backed support and direct access to engineers. | The documentation directs users to Slack or Discord for questions and offers a team Slack or Teams channel by email. |
Bifrost plans
- OSSFree
- EnterprisePriced on request
TensorZero plans
- TensorZero LLMOps platformFree
Pick Bifrost if…
The OSS edition suits developers and small teams that can manage a self-hosted deployment. Enterprise targets teams running production AI systems at scale and needing additional controls or SLA-backed support.
Pick TensorZero if…
TensorZero suits teams that want a self-hosted gateway and data tools for LLM applications, with routing, evaluation, and experimentation. It is a poor fit for teams that require an actively maintained project.