NVIDIA: Llama Guard 4 12B
Llama Guard 4 12B is a language model from NVIDIA released on Apr 5, 2025. It reads text and images and writes text, with a 128K token context window and up to 16K tokens per reply.
Show moreShow less
It costs $0 per million input tokens and $0 per million output tokens.
Its weights are open, so you can host it yourself.
- Modalities
- In / out price
- $0 / $0 per 1M
- Context
- 128K
- Max output
- 16K
- Released
- Apr 5, 2025
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Llama Guard 4 12B pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0 / 1M tokens | |
|---|---|---|
| Output | $0 / 1M tokens |
What Llama Guard 4 12B costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call Llama Guard 4 12B through an OpenAI compatible API.
- Temperature
temperature
Alternatives to Llama Guard 4 12B
Models that take the same inputs, closest in price, cheaper ones first.
- 1.05M context
Reads text, images and video. Tool calling, reasoning.
by nvidiaOct 15, 2026$0/M input tokens$0/M output tokens
- 1.05M context
Reads text, images and video. Tool calling, reasoning. Served by 2 providers.
by moonshotaiSep 11, 2026$0/M input tokens$0/M output tokens2 providers
- 512K context
Reads text and images. Tool calling, structured output, reasoning.
by dots-studioAug 14, 2026$0/M input tokens$0/M output tokens
- 262K context
Reads text and images. Tool calling, reasoning.
by deepreinforceJun 25, 2026$0/M input tokens$0/M output tokens
- 256K context
Reads text, images and video. Tool calling, reasoning.
by nvidiaApr 2, 2026$0/M input tokens$0/M output tokens
- 16K context
Reads text and images.
by paddlepaddleJan 29, 2026$0/M input tokens$0/M output tokens
More from NVIDIA
- 1.05M context
Reads text, images and video. Tool calling, reasoning.
by nvidiaOct 15, 2026$0/M input tokens$0/M output tokens
- Index 12.9
Reads text. Tool calling, structured output, reasoning. Served by 3 providers.
by nvidiaAug 11, 2026262K context$0/M input tokens$0/M output tokens3 providers
- 262K context
Reads text. Tool calling, structured output, reasoning. Served by 9 providers.
by nvidiaAug 11, 2026$0.05/M input tokens$0.20/M output tokens9 providers
- Index 22.9
Reads text. Tool calling, structured output, reasoning. Served by 18 providers.
by nvidiaJun 4, 20261M context$0.50/M input tokens$2.50/M output tokens18 providers
- 128K context
Reads text and images. Reasoning. Served by 6 providers.
by nvidiaJun 4, 2026$0.05/M input tokens$0.15/M output tokens6 providers
- 256K context
Reads text, images, audio and video. Tool calling, structured output, reasoning. Served by 7 providers.
by nvidiaApr 28, 2026$0.10/M input tokens$0.25/M output tokens7 providers
Llama Guard 4 12B questions
How much does the Llama Guard 4 12B API cost?
$0 per million input tokens and $0 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Llama Guard 4 12B?
128,000 tokens of input, and it can write up to 16,384 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does Llama Guard 4 12B support tool calling?
Not through the standard tools parameter. For an agent that calls your APIs, pick a model from the alternatives below that does.
Is Llama Guard 4 12B open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Llama Guard 4 12B released?
Apr 5, 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Llama Guard 4 12B?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
Book Meeting