LangSmith
8.0#1 in llm gateway software$39 usage-basedFree planWebAPILinuxmacOS
VisitLangSmith vs TensorZero
TensorZero
7.4#10 in llm gatewaysFree planFree planWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | LangSmith | TensorZero |
|---|---|---|
| Deployment | Deployment provides managed or self-hosted agent servers with streaming, cron scheduling, authentication, MCP support and more than 30 API endpoints. | The gateway and UI can be deployed with Docker, Docker Compose, or Kubernetes and Helm, or built from source. |
| Integrations | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. | Documented providers include Anthropic, AWS Bedrock, Azure, Google, OpenAI, OpenRouter, Together AI, vLLM, and OpenAI-compatible endpoints. |
| Observability | Its observability features include agent tracing, cost tracking, online LLM-as-judge and code evaluations, trajectory monitoring, and webhook or PagerDuty alerts. | TensorZero can store inference and feedback data for observability, optimization, evaluations, and experimentation in Postgres or ClickHouse. |
LangSmith plans
- DeveloperFree
- Plus$39 a month
- EnterprisePriced on request
TensorZero plans
- TensorZero LLMOps platformFree
Pick LangSmith if…
LangSmith suits teams building or operating AI agents that need evaluation, prompt workflows, and observability. It supports both hosted and self-hosted deployment options.
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.