--- title: "google.gemma-3-12b-it Cost Calculator - AWS Bedrock" description: "Calculate the cost of using google.gemma-3-12b-it from AWS Bedrock. Input costs $0.09 and output $0.29 per 1M tokens." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/google.gemma-3-12b-it" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/google.gemma-3-12b-it.md" --- # google.gemma-3-12b-it Cost Calculator - AWS Bedrock > Calculate the cost of using google.gemma-3-12b-it from AWS Bedrock. Input costs $0.09 and output $0.29 per 1M tokens. ## Important Links - [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md) - [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About google.gemma-3-12b-it google.gemma-3-12b-it is a chat model from AWS Bedrock, one of 362 chat models they offer. It is priced at $0.09 per 1M input tokens and $0.29 per 1M output tokens, ranking 325 out of 3254 chat models by cost and cheaper than 89% of models in this category. google.gemma-3-12b-it supports vision. It accepts up to 128K input tokens. ## Pricing Published AWS Bedrock pricing for google.gemma-3-12b-it. - **$0.09 / 1M tokens Input.** - **$0.29 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **128,000 Max Input Tokens.** - **8,192 Max Output Tokens.** - **8,192 Max Tokens.** ## Model Capabilities google.gemma-3-12b-it supports: Vision, System Messages. ## How Pricing Compares At $0.09 per 1M input tokens and $0.29 per 1M output tokens, google.gemma-3-12b-it ranks 325 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 89% of models in this category. google.gemma-3-12b-it is one of 362 AWS Bedrock chat models, with support for vision. | Model | Provider | Input $/1M | Output $/1M | vs google.gemma-3-12b-it | | --- | --- | --- | --- | --- | | gpt-4.1-nano | Azure | $0.10 | $0.40 | +11% | | gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | +11% | | Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 | -11% | | mistral-small-2503 | Azure | $0.10 | $0.30 | +11% | | gemini-2.0-flash | Vertex AI | $0.10 | $0.40 | +11% | ## More from AWS Bedrock - [openai.gpt-oss-20b-1:0 ($0.08/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/openai.gpt-oss-20b-1-0.md) - [meta.llama3-2-1b-instruct-v1:0 ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/meta.llama3-2-1b-instruct-v1-0.md) - [mistral.ministral-3-3b-instruct ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/mistral.ministral-3-3b-instruct.md) ## Related Resources - [All AWS Bedrock pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock.md) ## FAQ ### Is google.gemma-3-12b-it cheaper than gpt-4.1-nano? Yes. google.gemma-3-12b-it costs $0.09 per 1M input tokens compared to gpt-4.1-nano's $0.10 per 1M input tokens, making it 11% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output. ### How does google.gemma-3-12b-it pricing compare to the average chat model? google.gemma-3-12b-it input pricing is $0.09 per 1M tokens, which is 83% below the median of $0.52 for chat models. It ranks 325 out of 3254 chat models by input cost, making it cheaper than 89% of models in this category. For output, it costs $0.29 per 1M tokens compared to the median of $1.50. ### What makes google.gemma-3-12b-it different from other AWS Bedrock models? Among AWS Bedrock's 362 chat models, google.gemma-3-12b-it ranks 22 by input cost. ### What are the best alternatives to google.gemma-3-12b-it? The most comparable chat models to google.gemma-3-12b-it are: gpt-4.1-nano from Azure ($0.10/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.10/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M input tokens); mistral-small-2503 from Azure ($0.10/1M 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 google.gemma-3-12b-it costs? google.gemma-3-12b-it 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 $0.09 and generating 1M output tokens costs $0.29. ## Related Resources - [All AWS Bedrock pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock.md) - [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md) - [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/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/pricing) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md) --- *This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/google.gemma-3-12b-it](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/google.gemma-3-12b-it) for AI/LLM consumption.*