Compare Galileo AI and Sentry side by side. Both are tools in the Observability, Prompts & Evals category.
Updated March 10, 2026
Choose Galileo AI if generous free tier with 5,000 traces/month including Agent Reliability Platform.
Choose Sentry if developer-friendly platform.
Want to compare Galileo AI and Sentry on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Freemium | — |
| Best For | AI teams who need to measure and improve the quality of their LLM outputs | — |
| Website | rungalileo.io | sentry.io |
| Key Features |
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| Use Cases |
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Galileo is an AI observability and evaluation platform designed to provide AI reliability for teams across the entire development lifecycle. The platform offers real-time observability that continuously evaluates systems in production, sending alerts if something goes wrong or if interactions drift from training data. Galileo provides powerful, research-backed metrics and evaluation-powered development workflows to help teams build, scale, monitor, and protect AI applications in real-time. The platform is recognized as a Gartner Cool Vendor and serves as a comprehensive solution for AI teams looking to ensure reliability and performance of their LLM applications. With the Agent Reliability Platform available as part of their free tier, Galileo makes advanced AI observability accessible to teams of all sizes. The platform emphasizes scalability, security, and premium support for enterprise customers while maintaining an approachable entry point through their generous free tier.
Sentry provides error tracking and performance monitoring with AI-powered insights for applications. The platform provides comprehensive features for production AI applications with focus on reliability and developer experience.
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
Browse all Observability, Prompts & Evalstools →One platform for routing, observability, tracing, and evals across every LLM provider.