Head to head · Guard injection · October 2026 research run
Granite Guardian vs LlamaFirewall
Granite Guardian scores 60.1 (C) on agent readiness against LlamaFirewall's 50.8 (D), and leads in every scored category. Both do guard injection.
Which one, for what
Good for A team with a GPU that wants one English-language judge for harm, jailbreaks, RAG groundedness, function-call checks and house rules, under a permissive licence with no gate.
Ahead on
- Schema & documentation, 60 against 49
- Agent ergonomics, 69 against 60
- Payments & pricing, 60 against 50
- Maintenance & community, 47 against 15
- Transparency & trust, 70 against 58
Watch for
Trained and tested on English only, per the model card
Good for A Python agent team that wants injection, hidden-character and generated-code checks in process, is willing to pin dependencies or install from main, and can get the gated weights.
Also in its favour
- Open source
Watch for
No PyPI release since 1.0.3 on 29 May 2025, and no changelog, tags or deprecation notes were found
Score by category
| Category | Weight this run | Granite Guardian | LlamaFirewall | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 56 | 53 | Granite Guardian +3 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 60 | 49 | Granite Guardian +11 |
| Agent ergonomics | 13%16.2 | 69 | 60 | Granite Guardian +9 |
| Security & auth | 14%17.5 | 58 | 56 | Granite Guardian +2 |
| Payments & pricing | 10%12.5 | 60 | 50 | Granite Guardian +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 47 | 15 | Granite Guardian +32 |
| Transparency & trust | 7%8.8 | 70 | 58 | Granite Guardian +12 |
| Negative events | ≤15 | 0 | 0 | |
| Total | 60.1 · C | 50.8 · D |
Facts side by side
| Fact | Granite Guardian | LlamaFirewall |
|---|---|---|
| Kind | Model API | Agent framework |
| Vendor | IBM | Meta |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache 2.0 for the weights and the repository | MIT (library). The Prompt Guard 2 weights it downloads are under the Llama 4 Community Licence |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-04-29 | 2025-05-29 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models | ||
| Terms restrict automated access | ||
| Terms restrict benchmarking | ||
| Terms or service can change without notice | ||
| Arbitration or class-action waiver | ||
| Popularity | 182 stars | 4.4k stars, 1k PyPI/wk |
Verdicts
Granite Guardian
One ungated Apache 2.0 model judges harm, jailbreaks, RAG groundedness, function-call errors and custom criteria, with signed weights and published evaluation code. It is trained and tested on English only, each call checks one criterion, the 4.1 prompt format differs from 3.x, and IBM's watsonx.ai lists only the deprecated 3.0 model.
LlamaFirewall
One scan() call runs several checks on the owner's machine and returns a short typed result. The last PyPI release is 1.0.3 from 29 May 2025, and its Prompt Guard loader imports a huggingface_hub class that current versions no longer export, so a fresh install needs older pins. The classifier weights also need Meta's manual approval.
Before you call either
Granite Guardian
- Append the
<guardian>block as the final user message, with the mode line,### Criteria:and### Scoring Schema:. Copy the strings from the model card, because no package builds them - Use the no-think instruction for gating and parse
<score>. Think mode writes a reasoning trace first, and the card's examples allow up to 2,048 output tokens - Treat
yesas the criterion being met, which for built-in criteria means the risk is present. Treat a missing<score>tag as a failed check - Pass retrieved text through
documents=and tool schemas throughavailable_tools=inapply_chat_template, not inside the message text - Under Ollama, set
num_ctxin the request options. IBM's docs say the default context is short and long requests are truncated
LlamaFirewall
- Pin
huggingface_hubbelow 1.0 and a matchingtransformers4.x before importing the Prompt Guard scanner from the 1.0.3 wheel, or install from main - Get access to
meta-llama/Llama-Prompt-Guard-2-86Mand set a Hugging Face token first. Without one the loader prompts for a login and a headless run stalls - Call
scan_asyncinside a running event loop.scan()wrapsasyncio.runand fails there.scan_asyncreturns score 0.0 and reasondefaulton every allow - Split text longer than 512 tokens yourself before a Prompt Guard scan. The library truncates and does not chunk
- Do not feed a block
reasonback to the model. The Prompt Guard reason quotes the full scanned text, and the hidden ASCII reason decodes the hidden payload
Questions
Which is better for AI agents, Granite Guardian or LlamaFirewall?
Granite Guardian scores 60.1 (C) on agent readiness against LlamaFirewall's 50.8 (D), and leads in every scored category.
Can an agent call Granite Guardian and LlamaFirewall without installing anything?
No hosted endpoint is listed for Granite Guardian. No hosted endpoint is listed for LlamaFirewall.
Are Granite Guardian and LlamaFirewall open source?
No open-source release is listed for Granite Guardian. LlamaFirewall is open source (MIT (library). The Prompt Guard 2 weights it downloads are under the Llama 4 Community Licence).
Other comparisons with Granite Guardian or LlamaFirewall
- Amazon Bedrock Guardrails vs Granite Guardian
- Amazon Bedrock Guardrails vs LlamaFirewall
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- Azure AI Content Safety (Prompt Shields) vs LlamaFirewall
- Cisco AI Defense Inspection API vs Granite Guardian
- Cisco AI Defense Inspection API vs LlamaFirewall
- Google Cloud Model Armor vs Granite Guardian
- Google Cloud Model Armor vs LlamaFirewall
- Guardrails AI vs LlamaFirewall
- Lakera Guard (Check Point AI Guardrails) vs LlamaFirewall
- LlamaFirewall vs NVIDIA NeMo Guardrails
- LlamaFirewall vs OpenAI Guardrails
- LlamaFirewall vs Prisma AIRS AI Runtime Security API
- Granite Guardian vs Guardrails AI
- Granite Guardian vs Lakera Guard (Check Point AI Guardrails)
- Granite Guardian vs Llama Guard 4
- Granite Guardian vs Mistral Moderation API
- Granite Guardian vs NVIDIA NeMo Guardrails
- Granite Guardian vs OpenAI Guardrails
- Granite Guardian vs OpenAI Moderation API
- Granite Guardian vs Prisma AIRS AI Runtime Security API
- LlamaFirewall vs Presidio
- LlamaFirewall vs Mistral Moderation API
- Granite Guardian vs Presidio
- Llama Guard 4 vs LlamaFirewall
Machine-readable
- This page as Markdown
/compare/granite-guardian-vs-llamafirewall.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/granite-guardian.json·/api/v1/tools/llamafirewall.json - From a terminal
anchor compare granite-guardian llamafirewall(the CLI) - Over MCP
compare_tools {"a": "granite-guardian", "b": "llamafirewall"}at/mcp, no key