Llama Prompt Guard 2 22M pricing, context window and limits
Llama Prompt Guard 2 22M costs $0.03 per million input tokens and $0.03 per million output tokens at Groq list price. It accepts up to 512 tokens of context and returns up to 512 tokens.
- Model id
groq/meta-llama/llama-prompt-guard-2-22m - Snapshot
What does Llama Prompt Guard 2 22M cost?
| Input | $0.03 |
|---|---|
| Output | $0.03 |
| Cached input (read) | — |
| Cache write | — |
US dollars per million tokens. A dash means no price is published.
How much can Llama Prompt Guard 2 22M read and write?
| Context window | 512 |
|---|---|
| Max output | 512 |
What can Llama Prompt Guard 2 22M do?
| Vision (image input) | No |
|---|---|
| Tool calling | No |
| Structured output | No |
| Reasoning | No |
| Input | text |
| Output | text |
What does a request to Llama Prompt Guard 2 22M cost?
| A typical request: 1,000 tokens in, 500 out | under $0.0001 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.00033 |
| 1,000 typical requests | $0.045 |
| 1 million tokens in and 1 million out | $0.06 |
Among 10 Groq models with a published price, Llama Prompt Guard 2 22M is the 2nd cheapest by input price. Its context window is the 13th largest of 14. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call Llama Prompt Guard 2 22M through DVARA?
Configure the groq provider in the DVARA LLM Gateway and send the model id groq/meta-llama/llama-prompt-guard-2-22m. DVARA, the AI governance platform, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set is counted as costing nothing. Every cost record says which price it used.
Which other Groq models are there?
- Llama 3.3 70B$0.59 in · $0.79 out · 131K context
- Llama 3.1 8B$0.05 in · $0.08 out · 131K context
- Prompt Guard 2 86M$0.04 in · $0.04 out · 512 context
- GPT OSS 120B$0.15 in · $0.6 out · 131K context
- Compound Mini— in · — out · 131K context
- GPT OSS 20B$0.075 in · $0.3 out · 131K context
- Compound— in · — out · 131K context
- Safety GPT OSS 20B$0.075 in · $0.3 out · 131K context
- Canopy Labs Orpheus V1 English— in · — out · 4K context
- Qwen3.6 27B$0.6 in · $3 out · 131K context
- Canopy Labs Orpheus Arabic Saudi— in · — out · 4K context
- Qwen3.8 27B$0.8 in · $4 out · 131K context
Which models from other providers are similar to Llama Prompt Guard 2 22M?
These are the closest in context window and input price, one per provider.
- Gemini Embedding 001Google Gemini · $0.15 in · $0 out · 2K context
- text-embedding-3-smallOpenAI · $0.02 in · $0 out · 8K context
- Qwen2.5-Math 7B InstructAlibaba Qwen · $0.144 in · $0.287 out · 4K context
- Mistral EmbedMistral AI · $0.1 in · $0 out · 8K context
- Voxtral Mini 3B 2507Amazon Bedrock · $0.04 in · $0.04 out · 33K context