Calculate the cost of using llama-prompt-guard-2-22m from Groq for your AI applications
Pricing data last updated:
Mode: Chat
Max: 512 tokens
Max: 512 tokens
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llama-prompt-guard-2-22m is a chat model from Groq, one of 14 chat models they offer. It is priced at $0.03 per 1M input tokens and $0.03 per 1M output tokens, ranking 47 out of 2912 chat models by cost and cheaper than 98% of models in this category. It accepts up to 1K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 512 input tokens. The maximum output length is 512 tokens.
At $0.03 per 1M input tokens and $0.03 per 1M output tokens, llama-prompt-guard-2-22m ranks 47 out of 2912 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 98% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs llama-prompt-guard-2-22m |
|---|---|---|---|---|
| amazon.nova-micro-v1:0 | AWS Bedrock | $0.04 | $0.14 | +17% |
| apac.amazon.nova-micro-v1:0 | AWS Bedrock | $0.04 | $0.15 | +23% |
| llama-3.2-1b-instruct | Cloudflare | $0.03 | $0.20 | -10% |
Similar chat models from other providers
Yes. llama-prompt-guard-2-22m costs $0.03 per 1M input tokens compared to amazon.nova-micro-v1:0's $0.04 per 1M input tokens, making it 17% more affordable. Both are chat models and share support for function calling, prompt caching, structured output.
llama-prompt-guard-2-22m input pricing is $0.03 per 1M tokens, which is 95% below the median of $0.55 for chat models. It ranks 47 out of 2912 chat models by input cost, making it cheaper than 98% of models in this category. For output, it costs $0.03 per 1M tokens compared to the median of $1.50.
Among Groq's 14 chat models, llama-prompt-guard-2-22m ranks 1 by input cost.
The most comparable chat models to llama-prompt-guard-2-22m are: amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); apac.amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); llama-3.2-1b-instruct from Cloudflare ($0.03/1M input tokens); command-r7b-12-2024 from Cohere ($0.04/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
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llama-prompt-guard-2-22m is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.03 and generating 1M output tokens costs $0.03.