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.
across the 14-row feature matrix · 7 rows unverified, counted for neither side · see “where Patronus AIleads” below
Competitor data (GitHub stars, downloads, feature counts, funding / acquisition status) verified as of 2026-08-10. EvalGuard's own counts are sourced live from the drift-checked registry.
| Feature | EvalGuard | Patronus AI |
|---|---|---|
| Specialized eval models (Lynx 70B / Glider) | No (deferred — see Tier D) | Yes (their strength) |
| Eval Scorers (count) | 200+ built-in | Not published |
| Attack Plugins | 300+ | Not published |
| Attack Strategies | 100+ | Not published |
| LLM Providers | 90+ | Major providers only |
| Compliance Frameworks | 50 framework mappings (no certifications) | SOC 2 certified |
| LLM Firewall | 5-layer, 3.67ms p95 | Not published |
| LLM Gateway | Yes | Not published |
| Agent Tracing (OTel) | Yes | Yes |
| Cost / FinOps Analytics | Yes | Not published |
| Prompt IDE | Yes | SDK prompt management (UI not published) |
| Open Source | Apache 2.0 (SDKs + CLI) | Closed-source SaaS |
| Self-hosted | Yes (Docker + Helm) | Enterprise only |
| Pricing transparency | Public ($49/mo Pro) | Sales-led / opaque |
Why choose EvalGuard over Patronus AI
- Every capability on our side is published and countable — 200+ scorers, 300+ attack plugins, 100+ strategies, a firewall p95 at 3.67ms; Patronus publishes no comparable figures
- Open source (Apache 2.0) on the published SDKs and CLI, and self-hostable — Patronus is closed-source SaaS
- Public, transparent pricing starting at $49/mo Pro — Patronus is sales-led
- 50 compliance framework mappings with code-level controls — note that Patronus holds a SOC 2 certification and EvalGuard does not
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
- Patronus is a closed platform: their published SDK is a thin client over a remote evaluator API, so this page can describe what they advertise but cannot verify what they do not
- 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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