Galileo AI vs Weights & Biases: Observability, Prompts & Evals Comparison
Compare Galileo AI and Weights & Biases side by side. Both are tools in the Observability, Prompts & Evals category.
Updated March 9, 2026
The short answer
Choose Galileo AI if generous free tier with 5,000 traces/month including Agent Reliability Platform.
Choose Weights & Biases if free tier for personal projects and academic research provides excellent value.
Want to compare Galileo AI and Weights & Biases 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.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Freemium | Freemium |
| Best For | AI teams who need to measure and improve the quality of their LLM outputs | ML engineers and researchers who need comprehensive experiment tracking |
| Website | rungalileo.io | wandb.ai |
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Pros & Cons: Galileo AI vs Weights & Biases
- +Generous free tier with 5,000 traces/month including Agent Reliability Platform
- +Recognized as Gartner Cool Vendor demonstrating industry validation
- +Research-backed metrics providing scientific rigor to evaluations
- +Real-time observability with automated drift detection and alerting
- +Established team of 142 employees providing solid support capacity
- −Limited public information about advanced features and capabilities
- −Pro plan pricing jumps from free to $100/month with potential gaps for small teams
- −Less community-driven compared to open-source alternatives like Langfuse
- +Free tier for personal projects and academic research provides excellent value
- +Comprehensive experiment tracking and model versioning capabilities
- +Strong visualization tools help teams understand model performance
- +Acquisition by CoreWeave provides infrastructure synergies and stability
- −Pricing can become expensive for large teams and enterprises
- −Additional storage costs can add up quickly for data-intensive workflows
- −Learning curve for advanced features may slow initial adoption
- −Platform complexity may be overkill for simple ML projects
Pricing: Galileo AI vs Weights & Biases
- · Personal projects
- · Limited storage
- · Community support
- · Core features
- · Full product features
- · Enhanced storage
- · Email support
- · Team collaboration
- · For academic research
- · Unlimited tracked hours
- · 200GB cloud storage
- · Up to 100 seats
- · Custom pricing
- · Advanced features
- · Dedicated support
- · SLA guarantees
When to Choose Galileo AI vs Weights & Biases
- Monitoring LLM output quality
- Detecting and preventing hallucinations
- Evaluating RAG pipeline accuracy
- ML experiment tracking and comparison
- Model training run management
- Team collaboration on ML projects
About Galileo AI
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.
About Weights & Biases
Weights and Biases (W and B) is a machine learning operations platform founded in 2017 by Chris Van Pelt, Lukas Biewald, and Shawn Lewis in San Francisco, California. The platform offers performance visualization tools for machine learning, helping companies track models, visualize performance, and automate training and model improvement workflows. W and B provides comprehensive experiment tracking, model versioning, and collaborative tools for ML teams. In March 2025, Weights and Biases was acquired by CoreWeave, strengthening its position in the AI infrastructure ecosystem. The company raised a total of USD 250M from investors including CoreWeave, Coatue, Bloomberg Beta, and Insight Partners. W and B offers a free tier for personal projects and provides academic institutions with free Pro licenses for non-profit research, including unlimited tracked hours, 200GB cloud storage, up to 25GB/month of Weave data ingestion, and up to 100 seats. Paid plans start at USD 60/month with additional cloud storage available at USD 0.03 per GB.
What is Observability, Prompts & Evals?
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 →Other Observability, Prompts & Evals Tools
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