Agentic Index
Confident Ai vs Galileo (2026)
Both evaluate and guardrail agent behaviour and they differ on whose models do the judging, at 7 and 6.5 of 14.
Galileo runs its own low latency Luna evaluation models to evaluate, observe and guardrail applications, from a hundred dollars monthly billed yearly with a free tier. Confident AI, from the creators of DeepEval, offers more than fifty open source metrics for agents, retrieval and chatbots, from 19.99 per seat. Galileo's purpose built evaluators are faster in the request path; Confident's are open, inspectable and a fifth of the price.
Choose Confident Ai if
- Documented coverage is slightly broader and open inspectable metrics are what you trust.
- DeepEval heritage means your engineers may already know the framework.
- Nineteen dollars per seat against a hundred a month changes who can adopt it.
Choose Galileo if
- Low latency purpose built evaluators are required if guardrails sit in the request path.
- Guardrails as a first class product, not a byproduct of evaluation, is the need.
- One vendor across evaluation, observation and guardrails is the consolidation you want.
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