Llama Guard 4 12B

Chat model by Meta.

meta-llama language model featuring a 163,840-token context window. Engineered for dialogue, instruction following, and versatile text generation.

Models / Llama Guard 4 12BID: deepinfra/meta-llama/Llama-Guard-4-12B

Context window

Maximum input context length.

163.8K

tokens

Maker

Meta

Served On: DeepInfra

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.

Context window

163.8K

tokens
Max output

—

Modality

chat

Vision
Function calling
System prompt

Pricing

Rates are read live

Pricing for meta-llama/Llama-Guard-4-12B is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How Llama Guard 4 12B is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

More from Meta

Start building with meta-llama/Llama-Guard-4-12B

One API key, three steps. Choose your tool to begin.

  1. Set your API key

    export NROUTER_API_KEY="<YOUR_API_KEY>"
  2. Configure Claude Code

    Choose a tool, then copy its setup from the panel.

npm install -g @anthropic-ai/claude-code
Claude Code · deepinfra/meta-llama/Llama-Guard-4-12B
# Point Claude Code to nRouter gateway
export ANTHROPIC_BASE_URL="https://api.nrouter.ai"
export ANTHROPIC_API_KEY="$NROUTER_API_KEY"

# Launch with deepinfra/meta-llama/Llama-Guard-4-12B
claude --model deepinfra/meta-llama/Llama-Guard-4-12B

FAQs

What is Llama Guard 4 12B?

meta-llama language model featuring a 163,840-token context window. Engineered for dialogue, instruction following, and versatile text generation.

How much does Llama Guard 4 12B cost?

Llama Guard 4 12B is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.

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

Llama Guard 4 12B supports a 163,840-token context window.

Does Llama Guard 4 12B support tool calling and structured outputs?

No. Llama Guard 4 12B does not support tool calling, so it cannot invoke external tools or functions.

What inputs and outputs does Llama Guard 4 12B support?

Llama Guard 4 12B takes text and images as input and returns text as output.

How do I use Llama Guard 4 12B via nRouter?

Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "deepinfra/meta-llama/Llama-Guard-4-12B". The quick-start panel above has a copy-paste curl command for this model.

When was Llama Guard 4 12B released?

Llama Guard 4 12B was released on October 7, 2026.

Where is the Llama Guard 4 12B documentation?

Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.

What other text models does Meta have?

Other Meta text models on nRouter include Muse Spark 1.1 (nrouter.ai/models/muse-spark-1.1), Muse Spark 1.3 Contributor (nrouter.ai/models/muse-spark-1.3-contributor), Hermes 3 Llama 3.1 70B (nrouter.ai/models/nousresearch-hermes-3-llama-3.1-70b), Muse Glimmer 30B (nrouter.ai/models/meta-models-muse-glimmer-30b).