Lakera Guard vs Meta Llama Guard

Pick two tools from the same category to compare side-by-side.

	Lakera Guard Commercial low-latency API for detecting prompt injection, data leakage, and unsafe content in LLM applications.	Meta Llama Guard Family of open-weights LLM-based safety classifiers from Meta for moderating prompts and responses.
Category	guardrails	guardrails
Vendor type	commercial	open source
Pricing	freemium	free
Strengths	+ Purpose-built prompt injection detection served as a low-latency API + Detectors continuously retrained on real-world attack data + Policy-based configuration covering prompt attacks, PII, and content moderation + SaaS and self-hosted deployment options for enterprise plans	+ Open weights, self-hostable, with multiple sizes from 1B to 11B including a vision variant + Hazard categories aligned with the MLCommons safety taxonomy + Taxonomy can be adjusted via prompting or fine-tuning for custom policies + Widely available through hosted inference providers and guardrail toolkits
Tradeoffs	− Closed source with unpublished pricing; quotes require contacting sales − SaaS mode sends prompt and response data to a third-party API − Post-acquisition integration into Check Point adds roadmap uncertainty	− Requires GPU serving or a paid inference provider; classification adds latency per call − Llama Community License is not an OSI-approved open-source license and carries usage restrictions − Default taxonomy may not match application-specific policies without customization
Used in stacks	0	0