Head-to-head

EvalGuard vs Patronus AI. 

Specialized eval models (Lynx 70B, Glider) — depth-over-breadth research approachPatronus AI (patronus.ai, YC-backed) is an LLM evaluation platform built around proprietary specialized models — Lynx (70B hallucination-detection model) and Glider (continuous evaluation). Their bet is depth in a few high-value scorers rather than breadth across many. Strong on hallucination detection, light on red-team coverage and runtime protection.

12
EvalGuard wins
·
1
Ties
·
1
Patronus AI wins

Competitor data (GitHub stars, downloads, feature counts, funding / acquisition status) verified as of 2026-04-28. EvalGuard's own counts are sourced live from the drift-checked registry.

Coverage at a glance

EvalGuard vs Patronus AI, by the numbers

Where both platforms publish a number, here's the gap. Our values come straight from the drift-checked registry; Patronus AI's are quoted as published.

Eval Scorers (count)
EvalGuard0
Patronus AI0
Compliance Frameworks
EvalGuard0
Patronus AI0
FeatureEvalGuardPatronus AI
Specialized eval models (Lynx 70B / Glider)No (deferred — see Tier D)Yes (their strength)
Eval Scorers (count)188 built-in~10 specialized
Attack Plugins249Limited
Attack Strategies42Limited
LLM Providers91Major providers only
Compliance Frameworks33SOC 2
LLM Firewall5-layer, 2.57ms p95No runtime firewall
LLM GatewayYesNo
Agent Tracing (OTel)YesYes
Cost / FinOps AnalyticsYesLimited
Prompt IDEYesNo
Open SourceApache 2.0Closed-source SaaS
Self-hostedYes (Docker + Helm)Enterprise only
Pricing transparencyPublic ($49/mo Pro)Sales-led / opaque

Why choose EvalGuard over Patronus AI

  • Platform breadth: 188 scorers + 249 attack plugins + firewall + gateway + compliance + cost analytics — Patronus is research-eval-only
  • Open source (Apache 2.0) and self-hostable — Patronus is closed-source SaaS
  • Public, transparent pricing starting at $49/mo Pro — Patronus is sales-led
  • 33 compliance frameworks built-in — Patronus has SOC 2 only
  • Runtime LLM firewall + gateway — Patronus does evaluation only, no inline protection

Where Patronus AI leads

  • Lynx 70B specialized hallucination model is a real differentiator — purpose-trained on hallucination detection beats most general scorers on that one axis
  • Glider continuous-eval model is a similar specialized-model bet on faithfulness scoring
  • Strong research credibility (Patronus papers, academic partnerships)
  • If hallucination detection is your single most important axis, Patronus's specialized model approach is a defensible choice

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