Athina AI vs Sentry (2026)
Updated March 10, 2026
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Overview
Rating
10.0 / 10
Rating
10.0 / 10
Product Summary
Athina AI is a monitoring and evaluation platform for production LLM applications.
Product Summary
Sentry provides runtime error monitoring and performance observability for AI applications. Its LLM monitoring capabilities track model calls, token usage, and latency alongside traditional error tracking. Sentry helps teams catch and debug issues in production AI pipelines with detailed stack traces and context.
Starting Price
—
Starting Price
$0Per month
Free Trial
No
Free Trial
Yes
Free Version
No
Free Version
Yes
Website
Website
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
- Developer-friendly platform
- Production-ready
- Good performance
- Active development
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve
Compare Athina AI and Sentry 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