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Llama Guard 4 12B

Benchmarks, price, context and versions

Also searched as

Llama-Guard-4-12B

Direct answer: Llama Guard 4 12B is a model from Meta. On OpenRouter, US$ 0.18 per 1 million input tokens and US$ 0.18 per 1 million output tokens.

✓ Good for

  • running on your own infrastructure (open weights)

✕ Not the best for

  • Not enough data in the open sources this section uses to build this block.

This block follows a rule of this section, using source data: if the model is in the top 25% of the metric, the item goes under "Good for"; if it is in the bottom half, it goes under "Not the best for". The middle band appears in neither. Price and context use OpenRouter; scores use Epoch AI or OpenRouter Benchmarks, in the latest version we checked.

Benchmarks

no data

Key specs

Lab
Meta
Origin
the US
Family
Llama Guard provisional data
Weights?what it is
open
License
other
Input US$/1M?
US$ 0.18
Output US$/1M
US$ 0.18
Context?
163,840 tokens
Parameters
12,001,097,216
Input
image, text
OpenRouter usage?
no data
Downloads (30 days)?
96,682
Use cases provisional data
Text
Dates in sources
  • 2025, listed on OpenRouter
  • 2025, Hugging Face repo created

Version history

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.

FAQ

What is Llama Guard 4 12B?

Llama Guard 4 12B is a model from Meta, with open weights, used for text.

How much does Llama Guard 4 12B cost?

On OpenRouter, US$ 0.18 per 1 million input tokens and US$ 0.18 per 1 million output tokens.

What is the context window of Llama Guard 4 12B?

163,840 tokens, per OpenRouter.

Is Llama Guard 4 12B open source?

Yes, it has open weights. License: other.

Is Llama Guard 4 12B good for coding?

No data: there is no SWE-bench Verified measurement for it in open sources.

Who made Llama Guard 4 12B?

It was made by Meta, a lab from the US.

provisional data Questions under review: Semrush had no API balance during collection. Answers use source data only.

Models from Meta

See lab

Sources

  • Hugging Face Hub, metadados públicos do Hub; licença de cada modelo no repositório, latest version we checked.
  • OpenRouter, dados públicos da API; exports de benchmarks e rankings em CC BY 4.0, latest version we checked.

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.