Llama Guard 4 12B API Pricing
As of October 10, 2026, Llama Guard 4 12B costs $0.18 per 1M input tokens and $0.18 per 1M output tokens on DeepInfra. It has a 163,840-token context window and returns up to 163,840 tokens per response.
- Input
- $0.18 / 1M tokens
- Output
- $0.18 / 1M tokens
- Context window
- 163,840 tokens
- Max output
- 163,840 tokens
- Providers
- 1
- Added to LiteLLM
- July 2025
Llama Guard 4 12B pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| DeepInfra | deepinfra/meta-llama/Llama-Guard-4-12B | $0.18 | $0.18 | 160K |
What Llama Guard 4 12B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| DeepInfra | $0.45 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| DeepInfra | $1.836 |
Use Llama Guard 4 12B with LiteLLM
Call Llama Guard 4 12B through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="deepinfra/meta-llama/Llama-Guard-4-12B",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama-guard-4-12b
litellm_params:
model: deepinfra/meta-llama/Llama-Guard-4-12B
api_key: os.environ/DEEPINFRA_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "llama-guard-4-12b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama Guard 4 12B FAQ
How much does Llama Guard 4 12B cost?
Llama Guard 4 12B costs $0.18 per 1M input tokens and $0.18 per 1M output tokens on DeepInfra.
What is the context window of Llama Guard 4 12B?
Llama Guard 4 12B has a 163,840-token context window and returns up to 163,840 tokens per response.
Which providers offer Llama Guard 4 12B?
Llama Guard 4 12B is available from DeepInfra through LiteLLM, using the model name deepinfra/meta-llama/Llama-Guard-4-12B.
How do I call Llama Guard 4 12B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="deepinfra/meta-llama/Llama-Guard-4-12B", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
When did LiteLLM add Llama Guard 4 12B?
Llama Guard 4 12B was added to LiteLLM's model price file in July 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.
LiteLLM docs: DeepInfra.
Provider pages: DeepInfra.
