Athina AI vs Langfuse (2026)
vs
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
—
Best For
Teams who want open-source LLM observability they can self-host and customize
Product Summary
Athina AI is a monitoring and evaluation platform for production LLM applications.
Product Summary
Langfuse is an open-source LLM engineering platform for tracing, evals, and prompt management, self-hosted or on Langfuse Cloud with a free plan.
Starting Price
—
Starting Price
Free
Free Trial
No
Free Trial
No
Free Version
No
Free Version
Yes
Website
Website
Key features
Core capabilities each platform advertises.
Data not available
- Tracing for LLM calls, tool runs, and agent steps
- Python and TypeScript SDKs plus OpenTelemetry
- LLM-as-a-judge and custom evaluations
- Datasets and experiments
- Prompt management and playground
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
- MIT-licensed core, self-hostable with Docker Compose or Kubernetes
- Tracing, evals, and prompt management in one tool
- Unlimited users on paid cloud plans
- Free Hobby plan with 50k units a month
- Native SDKs plus OpenTelemetry for other languages
Cons
- No LLM gateway, so routing, failover, and spend limits need a separate tool
- Hobby plan keeps 30 days of data and caps at 2 users
- Enterprise SSO and RBAC need the $300/month Teams add-on on Pro
- Self-hosting means running and scaling Langfuse's services yourself
Athina AI or Langfuse — which should you choose?
Choose Athina AI if you wantChoose if you want
Data not available
Choose Langfuse if you wantChoose if you want
- Tracing and debugging LLM apps and agents
- Self-hosting LLM observability
- Versioning prompts across environments
- Scoring outputs with LLM judges and human review
Compare Athina AI and Langfuse 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.
Try Respan free