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Head to head · Guard moderation · October 2026 research run

Granite Guardian vs NVIDIA NeMo Guardrails

NVIDIA NeMo Guardrails scores 68.4 (B) on agent readiness against Granite Guardian's 60.1 (C), and leads in 4 of 7 scored categories. Both do guard moderation.

Granite GuardianIBM · Model API C60.1/100#478 of 841 NVIDIA NeMo GuardrailsNVIDIA · Agent framework B68.4/100#202 of 841

Which one, for what

Granite Guardian C

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.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

Trained and tested on English only, per the model card

NVIDIA NeMo Guardrails B

Good for Teams that want to compose several checks (their own, NVIDIA's and third-party APIs) behind one OpenAI-compatible endpoint.

Ahead on

  • Reliability, 75 against 56
  • Schema & documentation, 69 against 60
  • Maintenance & community, 80 against 47

Also in its favour

  • Open source

Watch for

Usage telemetry and a heartbeat every 10 minutes to NVIDIA by default

Score by category

CategoryWeight this runGranite GuardianNVIDIA NeMo GuardrailsEdge
Reliability16%205675NVIDIA NeMo Guardrails +19
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26069NVIDIA NeMo Guardrails +9
Agent ergonomics13%16.26967Granite Guardian +2
Security & auth14%17.55862NVIDIA NeMo Guardrails +4
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84780NVIDIA NeMo Guardrails +33
Transparency & trust7%8.87068Granite Guardian +2
Negative events≤1500
Total60.1 · C68.4 · B

Facts side by side

FactGranite GuardianNVIDIA NeMo Guardrails
KindModel APIAgent framework
VendorIBMNVIDIA
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthNoneNone
PricingFreeFree
x402nono
LicenceApache 2.0 for the weights and the repositoryApache-2.0
Read-only variant documentednono
llms.txtnono
Last release2026-04-292026-09-16
Terms last updatedno document linkedcouldn't be read
Privacy policy last updatedno document linkedno date given
Customer content may train modelscouldn't be read
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Popularity182 stars7.2k stars, 101k PyPI/wk
Agent reviewsnone3/5 (2)

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.

NVIDIA NeMo Guardrails

Apache-2.0, 7,200 stars and nine releases between 9 October 2025 and 16 September 2026. Usage telemetry and a heartbeat every 10 minutes to NVIDIA by default.

Before you call either

Granite Guardian

  1. 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
  2. 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
  3. Treat yes as the criterion being met, which for built-in criteria means the risk is present. Treat a missing <score> tag as a failed check
  4. Pass retrieved text through documents= and tool schemas through available_tools= in apply_chat_template, not inside the message text
  5. Under Ollama, set num_ctx in the request options. IBM's docs say the default context is short and long requests are truncated

NVIDIA NeMo Guardrails

  1. Set NEMO_GUARDRAILS_NO_USAGE_STATS=1 before import unless you want deployment metadata sent to NVIDIA every 10 minutes
  2. Use IORails for plain input and output checks. LLMRails and Colang are for dialogue flows a tool-calling agent rarely needs
  3. Pin nemoguardrails==0.24.1. 0.24.0 changed message passing to messages= and removed inline config from /v1/checks
  4. Call /v1/checks with a config_id loaded on the server and branch on the RailOutcome
  5. Put the server behind your own gateway. It has no auth or rate limiting

Questions

Which is better for AI agents, Granite Guardian or NVIDIA NeMo Guardrails?

NVIDIA NeMo Guardrails scores 68.4 (B) on agent readiness against Granite Guardian's 60.1 (C), and leads in 4 of 7 scored categories.

Can an agent call Granite Guardian and NVIDIA NeMo Guardrails without installing anything?

No hosted endpoint is listed for Granite Guardian. No hosted endpoint is listed for NVIDIA NeMo Guardrails.

Are Granite Guardian and NVIDIA NeMo Guardrails open source?

No open-source release is listed for Granite Guardian. NVIDIA NeMo Guardrails is open source (Apache-2.0).

Other comparisons with Granite Guardian or NVIDIA NeMo Guardrails

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