Galileo vs Braintrust

Detailed side-by-side comparison to help you choose the right tool

Galileo

🔴Developer

AI Evaluation

Galileo review 2026: enterprise AI evals, observability, guardrails, and Luna evaluator models for RAG and agents — features, pricing, pros, cons.

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Braintrust

🔴Developer

LLM Observability

Braintrust is an evals-first LLM observability platform combining production tracing, prompt playgrounds, autoevals, and Topics-based pattern discovery for teams shipping AI in production.

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Starting Price

Free
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Feature Comparison

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FeatureGalileoBraintrust
CategoryAI EvaluationLLM Observability
Pricing Plans285 tiers340 tiers
Starting PriceFree
Key Features
  • • Automated hallucination detection using proprietary ChainPoll methodology
  • • Real-time production monitoring for LLM applications with custom alerting
  • • RAG pipeline evaluation covering both retrieval and generation quality
  • • Workflow Runtime
  • • Tool and API Connectivity
  • • State and Context Handling

Galileo - Pros & Cons

Pros

  • ✓Luna evaluators are dramatically cheaper than LLM-as-judge — eval coverage can stay on in production
  • ✓End-to-end coverage: evals + traces + guardrails + agent root-cause from one vendor
  • ✓Strong enterprise compliance posture (VPC, audit, SSO) suitable for regulated industries

Cons

  • ✗No public pricing — every conversation starts with sales, which slows POC adoption
  • ✗Heavier and more opinionated than open-source [/tools/langfuse](/tools/langfuse) or [/tools/arize-phoenix](/tools/arize-phoenix) — early-stage teams may find it overkill
  • ✗Luna evaluators are proprietary — verify quality on your domain before assuming they replace LLM-judge in your stack

Braintrust - Pros & Cons

Pros

  • ✓Evals-first design with versioned datasets, side-by-side prompt comparisons, and autoevals library means iteration is the default workflow, not an afterthought
  • ✓Brainstore (purpose-built for AI traces) and the official MCP server make large-scale log search and IDE-driven prompt iteration meaningfully faster than competitors
  • ✓Generous Starter tier ($0/mo with 1 GB processed data, 10k scores, unlimited users/projects/datasets) lets teams ship real evals before paying anything

Cons

  • ✗$249/month Pro tier is a steep first paid step versus self-hosting Langfuse, which is free if you run the open-source version on your own infrastructure
  • ✗Topics token costs ($0.06/mtok input, $0.40/mtok output beyond credits) can spike quickly on chatty production traffic with custom facets
  • ✗No built-in LLM gateway, prompt router, or model fallback layer — you still need OpenRouter or similar for routing and resilience

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🔒 Security & Compliance Comparison

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Security FeatureGalileoBraintrust
SOC2—✅ Yes
GDPR—✅ Yes
HIPAA—✅ Yes
SSO—✅ Yes
Self-Hosted—❌ No
On-Prem—❌ No
RBAC—✅ Yes
Audit Log——
Open Source—❌ No
API Key Auth—✅ Yes
Encryption at Rest——
Encryption in Transit——
Data Residency——
Data Retention—configurable
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Review GalileoReview Braintrust