--- title: "eu.meta.llama3-2-1b-instruct-v1:0 Cost Calculator - AWS Bedrock" description: "Calculate the cost of using eu.meta.llama3-2-1b-instruct-v1:0 from AWS Bedrock. Input costs $0.13 and output $0.13 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/eu.meta.llama3-2-1b-instruct-v1-0" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/eu.meta.llama3-2-1b-instruct-v1-0.md" --- # eu.meta.llama3-2-1b-instruct-v1:0 Cost Calculator - AWS Bedrock > Calculate the cost of using eu.meta.llama3-2-1b-instruct-v1:0 from AWS Bedrock. Input costs $0.13 and output $0.13 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 eu.meta.llama3-2-1b-instruct-v1:0 eu.meta.llama3-2-1b-instruct-v1:0 is a chat model from AWS Bedrock, one of 342 chat models they offer. It is priced at $0.13 per 1M input tokens and $0.13 per 1M output tokens, ranking 480 out of 2912 chat models by cost and cheaper than 83% of models in this category. eu.meta.llama3-2-1b-instruct-v1:0 supports function calling. It accepts up to 128K input tokens. ## Pricing Published AWS Bedrock pricing for eu.meta.llama3-2-1b-instruct-v1:0. - **$0.13 / 1M tokens Input.** - **$0.13 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **128,000 Max Input Tokens.** - **4,096 Max Output Tokens.** - **4,096 Max Tokens.** ## Model Capabilities eu.meta.llama3-2-1b-instruct-v1:0 supports: Function Calling. ## How Pricing Compares At $0.13 per 1M input tokens and $0.13 per 1M output tokens, eu.meta.llama3-2-1b-instruct-v1:0 ranks 480 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 83% of models in this category. eu.meta.llama3-2-1b-instruct-v1:0 is one of 342 AWS Bedrock chat models, with support for function calling. | Model | Provider | Input $/1M | Output $/1M | vs eu.meta.llama3-2-1b-instruct-v1:0 | | --- | --- | --- | --- | --- | | Mistral-7B-Instruct-v0.1 | Anyscale | $0.15 | $0.15 | +15% | | Mixtral-8x7B-Instruct-v0.1 | Anyscale | $0.15 | $0.15 | +15% | | gpt-oss-120b | Azure | $0.15 | $0.60 | +15% | | gpt-4o-mini | Azure | $0.15 | $0.60 | +15% | | gpt-4o-mini-2024-07-18 | Azure | $0.15 | $0.60 | +15% | ## More from AWS Bedrock - [mistral.mistral-7b-instruct-v0:2 ($0.15/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/mistral.mistral-7b-instruct-v0-2.md) - [meta.llama3-2-3b-instruct-v1:0 ($0.15/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/meta.llama3-2-3b-instruct-v1-0.md) - [mistral.ministral-3-8b-instruct ($0.15/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/mistral.ministral-3-8b-instruct.md) ## Related Resources - [All AWS Bedrock pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock.md) ## FAQ ### Is eu.meta.llama3-2-1b-instruct-v1:0 cheaper than Mistral-7B-Instruct-v0.1? Yes. eu.meta.llama3-2-1b-instruct-v1:0 costs $0.13 per 1M input tokens compared to Mistral-7B-Instruct-v0.1's $0.15 per 1M input tokens, making it 15% more affordable. Both are chat models and share support for function calling. ### How does eu.meta.llama3-2-1b-instruct-v1:0 pricing compare to the average chat model? eu.meta.llama3-2-1b-instruct-v1:0 input pricing is $0.13 per 1M tokens, which is 76% below the median of $0.55 for chat models. It ranks 480 out of 2912 chat models by input cost, making it cheaper than 83% of models in this category. For output, it costs $0.13 per 1M tokens compared to the median of $1.50. ### What makes eu.meta.llama3-2-1b-instruct-v1:0 different from other AWS Bedrock models? Among AWS Bedrock's 342 chat models, eu.meta.llama3-2-1b-instruct-v1:0 ranks 21 by input cost. ### What are the best alternatives to eu.meta.llama3-2-1b-instruct-v1:0? The most comparable chat models to eu.meta.llama3-2-1b-instruct-v1:0 are: Mistral-7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); Mixtral-8x7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); gpt-oss-120b from Azure ($0.15/1M input tokens); gpt-4o-mini from Azure ($0.15/1M 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 calculate eu.meta.llama3-2-1b-instruct-v1:0 costs? eu.meta.llama3-2-1b-instruct-v1:0 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 $0.13 and generating 1M output tokens costs $0.13. ## Related Resources - [All AWS Bedrock pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock.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/bedrock/model/eu.meta.llama3-2-1b-instruct-v1-0](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/eu.meta.llama3-2-1b-instruct-v1-0) for AI/LLM consumption.*