Prompt Guard 2 86M pricing, context window and limits
Prompt Guard 2 86M costs $0.04 per million input tokens and $0.04 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-2-86m - Snapshot
What does Prompt Guard 2 86M cost?
| Input | $0.04 |
|---|---|
| Output | $0.04 |
| Cached input (read) | — |
| Cache write | — |
US dollars per million tokens. A dash means no price is published.
How much can Prompt Guard 2 86M read and write?
| Context window | 512 |
|---|---|
| Max output | 512 |
What can Prompt Guard 2 86M do?
| Vision (image input) | No |
|---|---|
| Tool calling | No |
| Structured output | No |
| Reasoning | No |
| Input | text |
| Output | text |
What does a request to Prompt Guard 2 86M cost?
| A typical request: 1,000 tokens in, 500 out | under $0.0001 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.00044 |
| 1,000 typical requests | $0.06 |
| 1 million tokens in and 1 million out | $0.08 |
Among 10 Groq models with a published price, Prompt Guard 2 86M is the 3rd 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 Prompt Guard 2 86M through DVARA?
Configure the groq provider in the DVARA LLM Gateway and send the model id groq/meta-llama/llama-prompt-guard-2-86m. DVARA, the AI gateway, 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 gets no cost record: its calls count against no budget and appear in no report, and the gateway records the model as unpriced. Every cost record says which price it used.
Which other Groq models are there?
- Llama Prompt Guard 2 22M$0.03 in · $0.03 out · 512 context
- GPT OSS 120B$0.15 in · $0.6 out · 131K context
- Llama 3.3 70B$0.59 in · $0.79 out · 131K context
- GPT OSS 20B$0.075 in · $0.3 out · 131K context
- Llama 3.1 8B$0.05 in · $0.08 out · 131K context
- Safety GPT OSS 20B$0.075 in · $0.3 out · 131K context
- Compound Mini— in · — out · 131K context
- Qwen3.6 27B$0.6 in · $3 out · 131K context
- Compound— in · — out · 131K context
- Qwen3.8 27B$0.8 in · $4 out · 131K context
- Canopy Labs Orpheus V1 English— in · — out · 4K context
- Whisper— in · — out · — context
Which models from other providers are similar to Prompt Guard 2 86M?
These are the closest in context window and input price, one per provider.
- Gemini Embedding 001Google Gemini · $0.15 in · $0 out · 2K context
- Qwen2.5-Math 7B InstructAlibaba Qwen · $0.144 in · $0.287 out · 4K context
- text-embedding-3-smallOpenAI · $0.02 in · $0 out · 8K context
- Mistral EmbedMistral AI · $0.1 in · $0 out · 8K context
- Voxtral Mini 3B 2507Amazon Bedrock · $0.04 in · $0.04 out · 33K context