by Meta AI

Meta: Llama Guard 4 12B.

multimodal open weights laptop+ 12B params 164K ctx
Cheapest input
$0.18/M
on DeepInfra
Cheapest output
$0.18/M
on DeepInfra
Fastest
1 tok/s
on OpenRouter
Smallest GPU
1× AMD Radeon RX 5700 XT

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...

Smallest GPU to run it See all quantisations →

1× AMD Radeon RX 5700 XT.

Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.

Where to use it

Cheapest hosted endpoints.

Provider Access $/M in $/M out
DeepInfra hosted inference $0.18 $0.18 Launch ↗
OpenRouter api aggregator $0.18 $0.18 Launch ↗
Performance

Speed across providers.

Tokens/sec and time-to-first-token measured against the same prompt template on each provider's API.

Provider Tokens/sec TTFT Total
OpenRouter 1.3 1500 ms 1508 ms
FAQ

Frequently asked.

How do I run Meta: Llama Guard 4 12B?
Meta: Llama Guard 4 12B is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access Meta: Llama Guard 4 12B?
Meta: Llama Guard 4 12B is available via DeepInfra, OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Meta: Llama Guard 4 12B?
API pricing starts at $0.18/M input tokens and $0.18/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Meta: Llama Guard 4 12B open-source or proprietary?
Meta: Llama Guard 4 12B is open-weight under the license. You can download and self-host it.