LangSmith vs Orq.ai
LangSmith
langchain.com
Orq.ai
orq.aiSide by side
| Figure | LangSmith | Orq.ai |
|---|---|---|
| Price from | $39/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · LLM Gateway Software | 9.2 (#1) | 7.7 (#18) |
| Spec score · LLM gateways | 9.3 (#2) | 7.9 (#15) |
| Deployment | Deployment provides managed or self-hosted agent servers with streaming, cron scheduling, authentication, MCP support and more than 30 API endpoints. | Listed deployment options include EU SaaS, VPC, and on-premises. |
| Founded | 2023 | 2023 |
| Headquarters | San Francisco, California, United States | Amsterdam, Netherlands |
| Integrations | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. | 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. |
| Observability | Its observability features include agent tracing, cost tracking, online LLM-as-judge and code evaluations, trajectory monitoring, and webhook or PagerDuty alerts. | Orq.ai provides request traces, cost and token tracking, dashboards, and OpenTelemetry ingestion. |
| Support | The Developer plan includes community support, and the Enterprise plan lists a support SLA. | 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. |
| What it does | LangSmith is LangChain's framework-agnostic platform for observing, evaluating and deploying AI agents. | Orq.ai provides an AI gateway and platform to route, govern, and observe AI model and tool requests. |
Plans
In their own words
LangSmith
LangSmith is a commercial agent-engineering platform for building, evaluating, deploying, monitoring, and improving AI agents. It supports offline evaluations on curated datasets and real-time scoring of production interactions. Evaluation methods include human review, heuristic checks, LLM-as-judge evaluators, pairwise comparisons, and custom Python or TypeScript evaluators. Annotation queues route runs to subject-matter experts for feedback that can calibrate evaluations, improve prompts, or augment datasets. The Playground compares prompt versions or model providers, and LangSmith chat can auto-improve prompts. Observability includes agent and retrieval tracing, token and general cost tracking, trajectory monitoring, online evaluations, and webhook or PagerDuty alerts. Traces can arrive through SDKs or an API from LangGraph, custom Python, or other stacks; SDKs are listed for Python, TypeScript, Go, and Java. Hosting ranges from cloud to hybrid and self-hosted Enterprise options. The Developer plan costs nothing, Plus costs $39 a month, and Enterprise pricing is custom.
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.