Meta: Llama Guard 4 12B Rank
Llama Guard 4 12B has an overall score of 55 out of 100, tied for rank 241 of 291. The published scores are price 83, context 47, parameters 27, and freshness 63. The overall score is their average. recency is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 241 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 63 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 47 | 164K tokens, output 16.4K | AI Context Window |
| Parameters | 27 | 12B total | AI Parameter Count |
| Price | 83 | $0.18 / 1M blended, $0.18 / 1M input, $0.18 / 1M output | AI Token Price |
240 listed models have a higher overall score. Among Meta models, it ranks 3 of 8.
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
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Frequently asked questions
What is the Llama Guard 4 12B rank?
Llama Guard 4 12B has an overall score of 55 out of 100, tied for rank 241 of 291. The published scores are price 83, context 47, parameters 27, and freshness 63. The overall score is their average. recency is not published and is left out of the average.
Where does Llama Guard 4 12B rank?
Llama Guard 4 12B is tied for rank 241 of 291. 240 listed models have a higher overall score. Among Meta models, it ranks 3 of 8.
What scores make up Llama Guard 4 12B?
Llama Guard 4 12B scores price 83 (AI Token Price), context 47 (AI Context Window), parameters 27 (AI Parameter Count), and freshness 63 (AI Knowledge Cutoff). The overall score of 55 is the average of those 4.