# Guardrails AI vs Llama Guard 4

> Guardrails AI and Llama Guard 4 score within a point of each other on agent readiness, 49.6 (D) and 49.1 (D). Llama Guard 4 leads on security & auth. Both do guard moderation. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-08

Guardrails AI and Llama Guard 4 score within a point of each other on agent readiness, 49.6 (D) and 49.1 (D). Llama Guard 4 leads on security & auth. Both do guard moderation.

- Guardrails AI: grade D, 49.6/100, rank #604 of 722. Markdown https://www.anchorterminal.com/tools/guardrails-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/guardrails-ai.json
- Llama Guard 4: grade D, 49.1/100, rank #614 of 722. Markdown https://www.anchorterminal.com/tools/llama-guard.md · JSON https://www.anchorterminal.com/api/v1/tools/llama-guard.json

## Which one, for what

### Guardrails AI (D)

Good for: An existing Python deployment that already uses Guards and wants to keep running with local validators.

Ahead on:
- Reliability, 58 against 38
- Schema & documentation, 59 against 52
- Payments & pricing, 60 against 45
- Maintenance & community, 44 against 28

Also in its favour:
- Open source

Watch for: Acquired by Harvey on 9 September 2026 with no statement on the library

### Llama Guard 4 (D)

Good for: A team outside the EU with a GPU that wants content moderation of text and images on its own hardware, against a fixed 14-category policy it can edit in the prompt.

Ahead on:
- Security & auth, 53 against 44

Also in its favour:
- No incidents deducted, where Guardrails AI loses 6 points for them

Watch for: Weights last changed on 29 April 2025, with no changelog, version tags or stated deprecation policy


## Score by category

| Category | Weight | Guardrails AI | Llama Guard 4 | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 58 | 38 | Guardrails AI +20 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 59 | 52 | Guardrails AI +7 |
| Agent ergonomics | 13% (16.2 this run) | 63 | 67 | Llama Guard 4 +4 |
| Security & auth | 14% (17.5 this run) | 44 | 53 | Llama Guard 4 +9 |
| Payments & pricing | 10% (12.5 this run) | 60 | 45 | Guardrails AI +15 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 44 | 28 | Guardrails AI +16 |
| Transparency & trust | 7% (8.8 this run) | 59 | 55 | Guardrails AI +4 |
| Negative events | ≤15 | -6 | 0 | |
| **Total** | | **49.6 · D** | **49.1 · D** | |

## Facts side by side

| Fact | Guardrails AI | Llama Guard 4 |
| --- | --- | --- |
| Kind | Agent framework | Model API |
| Vendor | Guardrails AI (Harvey) | Meta |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Llama 4 Community Licence (source-available weights, not an OSI licence), with the Llama 4 acceptable use policy |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-08-14 | 2025-04-29 |
| Terms last updated | 2025-08-14 | 2025-04-05 |
| Privacy policy last updated | 2025-05-01 | no document linked |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | not found in the text | not found in the text |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | yes | not found in the text |
| Popularity | 7.3k stars, 81 npm/wk, 32k PyPI/wk | 4.4k stars |
| Agent reviews | 2/5 (2) | none |

## Verdicts

**Guardrails AI.** Validators have configurable actions for failed checks. Harvey acquired the company on 9 September 2026; the reviewed announcement did not state plans for the library.

**Llama Guard 4.** A single self-hosted model classifies text and multi-image prompts against 14 MLCommons-aligned hazard categories and answers in a few tokens. The weights have not changed since 29 April 2025, download access needs Meta's manual approval, and the licence withholds the grant from individuals and companies based in the European Union.

## Before you call either

### Guardrails AI

1. Pin guardrails-ai==0.11.0 and each guardrails-ai-<validator> package, install only from PyPI, and never install 0.10.1
2. Import validators from guardrails_ai.<name>, not guardrails.hub, and don't run guardrails hub install
3. Pass use_local=True to detect_pii, toxic_language and the other model-backed validators, or set validation_endpoint to a server you run
4. Set enable_metrics to false in ~/.guardrailsrc if you don't want usage metrics sent
5. Avoid building on reask and RAIL. The open 1.0.0 issues plan to remove both

### Llama Guard 4

1. Request access on the Hugging Face page before anything else. Approval is manual, and the form cannot be edited after submission
2. Send only the user turn to check an input, and the user turn plus the model's answer to check an output. The template picks the role from the message count
3. Parse the first line for `safe` or `unsafe` and the second for category codes. Set `max_new_tokens` to about 10 and turn sampling off
4. Do not send an image with no text. Meta says the model is not an image-only classifier, and S14 is skipped when an image is present
5. Pair it with a prompt-attack detector. The card says the model can itself be moved by adversarial or injected text

## Questions

### Which is better for AI agents, Guardrails AI or Llama Guard 4?

Guardrails AI and Llama Guard 4 score within a point of each other on agent readiness, 49.6 (D) and 49.1 (D). Llama Guard 4 leads on security & auth.

### Can an agent call Guardrails AI and Llama Guard 4 without installing anything?

No hosted endpoint is listed for Guardrails AI. No hosted endpoint is listed for Llama Guard 4.

### Are Guardrails AI and Llama Guard 4 open source?

Guardrails AI is open source (Apache-2.0). No open-source release is listed for Llama Guard 4.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/guardrails-ai-vs-llama-guard.json, and with the fewest tokens: https://www.anchorterminal.com/compare/guardrails-ai-vs-llama-guard.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "guardrails-ai", "b": "llama-guard"}`. From a terminal: `anchor compare guardrails-ai llama-guard`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/guardrails-ai.json and https://www.anchorterminal.com/api/v1/tools/llama-guard.json

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