Athina AI vs LangSmith (2026)
Updated March 9, 2026
vs
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
—
Best For
Teams building agents on LangChain or LangGraph who want tracing, evals, and deployment from one vendor
Product Summary
Athina AI is a monitoring and evaluation platform for production LLM applications.
Product Summary
LangSmith is LangChain's platform for tracing, evaluating, and deploying AI agents. Compare its features, pricing, pros and cons, and alternatives.
Starting Price
—
Starting Price
Free
Free Trial
No
Free Trial
Yes
Free Version
No
Free Version
Yes
Website
Website
Key features
Core capabilities each platform advertises.
Data not available
- Native tracing for LangChain and LangGraph
- OpenTelemetry and multi-language SDKs
- Offline and online evaluations
- Annotation queues and datasets
- Prompt Hub with versioning
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Comprehensive platform covering entire AI development lifecycle from prototyping to production
- 50+ preset evaluations from established providers like Ragas and Guardrails
- Strong enterprise features including SOC-2 Type 2 compliance and self-hosted deployment
- Y Combinator-backed with proven clients like Perplexity and Meesho
- Generous free starter plan with 10k logs/month and unlimited prompts
Cons
- Small team of 11 employees may limit support capacity for enterprise clients
- Lack of transparent pricing for Pro and Enterprise plans requiring sales contact
- Founded in 2022, relatively new compared to more established observability platforms
Pros
- Native LangChain and LangGraph tracing with no extra instrumentation
- Evals, datasets, and annotation queues sit in the same workspace as traces
- Tracing, deployment, and sandboxes from one vendor
- Framework-agnostic SDKs and OpenTelemetry support
Cons
- Per-seat pricing on Plus, and the free plan allows one seat
- 14-day base retention, with longer retention billed at a higher rate
- LLM Gateway is still in beta
- Self-hosting and hybrid deployment are Enterprise only
Athina AI or LangSmith — which should you choose?
Choose Athina AI if you wantChoose if you want
Data not available
Choose LangSmith if you wantChoose if you want
- Debugging LangChain and LangGraph agents
- Evaluating agent output against datasets
- Human review through annotation queues
- Deploying long-running agents
Compare Athina AI and LangSmith on your own traffic
10KFree traces/mo
1,000+Models
5 minSetup
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
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