--- title: "llama-prompt-guard-2-22m Cost Calculator - Groq" description: "Calculate the cost of using llama-prompt-guard-2-22m from Groq. Input costs $0.03 and output $0.03 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq/model/llama-prompt-guard-2-22m" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq/model/llama-prompt-guard-2-22m.md" --- # llama-prompt-guard-2-22m Cost Calculator - Groq > Calculate the cost of using llama-prompt-guard-2-22m from Groq. Input costs $0.03 and output $0.03 per 1M tokens. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/bifrost/enterprise) - [Pricing](https://www.getmaxim.ai/bifrost/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/bifrost/book-a-demo) ## About llama-prompt-guard-2-22m 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. ## Pricing Published Groq pricing for llama-prompt-guard-2-22m. - **$0.03 / 1M tokens Input.** - **$0.03 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **512 Max Input Tokens.** - **512 Max Output Tokens.** - **512 Max Tokens.** ## How Pricing Compares 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 | Output $/1M | 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% | | command-r7b-12-2024 | Cohere | $0.04 | $0.15 | +25% | | Meta-Llama-3-8B-Instruct | DeepInfra | $0.03 | $0.04 | 0% | ## More from Groq - [llama-prompt-guard-2-86m ($0.04/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq/model/llama-prompt-guard-2-86m.md) - [llama-3.1-8b-instant ($0.05/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq/model/llama-3.1-8b-instant.md) - [gpt-oss-20b ($0.07/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq/model/gpt-oss-20b.md) - [gpt-oss-safeguard-20b ($0.07/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq/model/gpt-oss-safeguard-20b.md) ## Related Resources - [Groq status](https://www.getmaxim.ai/bifrost/provider-status/groq.md) - [llama-prompt-guard-2-22m specifications](https://www.getmaxim.ai/bifrost/model-library/compare/groq/llama-prompt-guard-2-22m.md) - [All Groq pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq.md) ## FAQ ### Is llama-prompt-guard-2-22m cheaper than amazon.nova-micro-v1:0? 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. ### How does llama-prompt-guard-2-22m pricing compare to the average chat model? 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. ### What makes llama-prompt-guard-2-22m different from other Groq models? Among Groq's 14 chat models, llama-prompt-guard-2-22m ranks 1 by input cost. ### What are the best alternatives to llama-prompt-guard-2-22m? 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. ### How do I check if Groq is down? You can monitor Groq service health in real time on the Bifrost Groq Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds. ### How do I calculate llama-prompt-guard-2-22m costs? 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. ## Related Resources - [All Groq pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/bifrost/pricing.md) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/bifrost/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/bifrost/book-a-demo) - [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq/model/llama-prompt-guard-2-22m](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/groq/model/llama-prompt-guard-2-22m) for AI/LLM consumption.*