[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],[],[[["\u003cp\u003eVertex AI Agent Builder offers a $1,000 free trial credit, valid for one year from account signup, for use with its services.\u003c/p\u003e\n"],["\u003cp\u003eVertex AI Agents pricing starts at $12.00 per 1,000 chat queries and $0.002 per second for voice, encompassing various generative AI features, while standard Dialogflow CX Chat is priced at $7.00 per 1,000 queries.\u003c/p\u003e\n"],["\u003cp\u003eVertex AI Search pricing varies by edition, with Standard at $2.00 and Enterprise at $4.00 per 1,000 queries, and LLM add-ons available for both to enhance search capabilities, with basic at $4 and advanced at $10 per 1,000 queries.\u003c/p\u003e\n"],["\u003cp\u003eVertex AI Search for Healthcare is priced at $20.00 per 1,000 queries and Index Storage is $5.00 per GiB of raw data per month, with a 10 GiB free quota.\u003c/p\u003e\n"],["\u003cp\u003eThe Grounded Generation API charges based on the selected Gemini model for input and output prompts, with additional costs of $2.50 per 1,000 requests for grounding on your own retrieved data, and $35.00 per 1,000 requests when grounding on google search.\u003c/p\u003e\n"]]],[],null,["# Pricing\n\nAI Applications pricing\n=======================\n\nPrices are listed in US Dollars (USD).\n\nPricing for listed Generally Available (GA) functionality is invoked on Sep 1, 2023.\n\nAI Applications lets developers, even those with limited machine learning skills, tap into the\npower of Google's foundation large language models, search expertise, and conversational AI technologies to create\nenterprise-grade generative AI applications\n\nVertex AI Search pricing\n------------------------\n\nAI Applications provides the ability to quickly build Search Engines for website, unstructured data, structured data to retrieve information and generate grounded answers. You can read more about the features available in [Vertex AI Search](/generative-ai-app-builder/docs/about-generic-search).\n\n### Pricing for Vertex AI Search GA functionality\n\nFree Trial: You'll have access to 10,000 queries per account, per month at no cost to explore Vertex AI Search without an initial investment. Excludes Advanced Generative Answers.\n\n### Pricing Example for Vertex AI Search GA functionality\n\nExample of unstructured data : Document Search\n\nAssumption:\n\n- 10M Standard Edition queries annually\n- 10M Enterprise Edition queries with 2M Advanced Generative Answers (AI Mode) queries annually\n- 100K documents @ \\~1mb each\n\nIndex storage pricing\n---------------------\n\n### Pricing for AI Applications Index Data Storage\n\nVertex AI Search for Healthcare pricing\n---------------------------------------\n\nVertex AI Search for Healthcare provides the ability to quickly build medically tuned Search Engines over healthcare data.\n\nVertex AI Search for Healthcare includes some features in Preview such as GenAI answers, streaming updates to the index, and others. These features may be priced differently than the current listed price when they are released to General Availability.\n\n### Pricing Example for Healthcare Search\n\nAssumption:\n\n- 1,000,000 healthcare search requests a month\n\n- 1,000 GiB of healthcare data indexed\n\nVertex AI Search for Media pricing\n----------------------------------\n\nVertex AI Search for Media enables you to provide highly relevant video results, leveraging Google's query and contextual understanding to improve discovery across your media site.\n\nVertex AI Search for Media Recommendations pricing\n--------------------------------------------------\n\nThe only Media Recommendations operations that incur charges are training, tuning, or requesting predictions by calling the [recommend](/generative-ai-app-builder/docs/reference/rest/v1beta/projects.locations.dataStores.servingConfigs/recommend) method. There's no charge for importing or managing user events or document information.\n\nTraining (per node per hour) costs are charged on a daily basis if your model is actively training or if you have submitted a request to resume training. After you pause or delete a model, you are no longer charged. See the documentation for [managing training](/generative-ai-app-builder/docs/train-tune-media#pause).\n\nTuning (per node per hour) costs for active models are charged after the tune completes successfully. You are only charged for an incomplete tune if you pause or delete a model during an ongoing tune. In this case, you are then charged for the node hours that were consumed before the model tuning stopped. See the documentation for [managing tuning](/generative-ai-app-builder/docs/train-tune-media#pause).\n\n### Pricing Example for Media Recommendations\n\nAssumption:\n\n- 1,000,000,000 prediction requests a month\n\n- Trains a single model per day, which automatically retrains once per day\n\n- Amounts to about 500 node hours of model training and 100 hours of model tuning per month\n\n### Google Cloud Observability charges\n\nMedia Recommendations logs an error to Google Cloud Observability for each API request that\nresults in an error, such as a user event request that contains malformed JSON,\nor a document import request with a negative price.\nMedia Recommendations also logs an error for every prediction request with a\ndocument that is not in the imported datastore.\n\nGoogle Cloud Observability charges by the GiB of logs stored and for retention beyond the\ndefault retention period. For details about the\nfree allotment and data retention, see\nthe [Google Cloud Observability pricing page](/stackdriver/pricing).\n\nThe size of the logging data depends on the size of your JSON payload,\nbut a GiB would be approximately 200,000 Media Recommendations errors.\n\nGrounded Generation API pricing\n-------------------------------\n\nThe Grounded Generation API enables you to create generative answers to your prompts using information on Google Search or your own data.\n\n### Example #1: Grounding on Vertex AI Search and inline grounding facts\n\nThe user uses Vertex AI Search and additional grounding facts to generate grounded answers. Each input prompt is 2,500 characters (including inline grounding facts) and each output prompt 200 characters long. The user has selected Gemini 1.5 Flash.\n\n### Example #2: Grounding on Google Search\n\nThe user uses Google Search to generate grounded answers. Each input prompt is 500 characters and each output prompt 200 characters long. The user has selected Gemini 1.5 Flash.\n\nCheck Grounding API pricing\n---------------------------\n\nCheck grounding provides the ability to determine how grounded a piece of text (the answer candidate) is in a given set of reference texts (the facts).\n\nDocument AI feature pricing\n---------------------------\n\nFor full pricing information of all Document AI features, refer to the [Document AI pricing page](https://cloud.google.com/document-ai/pricing).\n\nFor the Document AI features integrated with and billed through Vertex AI Search, refer to the tables below.\n\n### Digitize text\n\n### Extract structures and entities from documents\n\n\\*The size of a page depends on the file format.:\n\n- Images (JPEG/JPG, PNG, BMP, HEIF): Each image = 1 page\n\n- PDF: Each page in the PDF = 1 page\n\n- TIFF: Each image in the TIFF = 1 page\n\n- Word (DOCX): Up to 3,000 characters = 1 page\n\n- Excel (XLSX): Each tab = 1 page\n\n- Powerpoint (PPTX): Each slide = 1 page\n\n- HTML: Up to 3,000 characters = 1 page\n\n- Parsed Documents: Up to 3,000 characters = 1 page\n\nRanking API pricing\n-------------------\n\nThe ranking API takes a list of documents and reranks those documents based on how relevant the documents are to a query.\n\nCompared to embeddings, which look only at the semantic similarity of a document and a query, the ranking API can give you precise scores for how well a document answers a given query.\n\nThe ranking API can be used to improve the quality of search results after retrieving an initial set of candidate documents.\n\n### Rank documents\n\nA query is defined as having up to 100 documents, though a user can specify more than 100 documents per query. In the case where more than 100 documents are specified, pricing increases by 1 for every multiple of 100 documents. \n\nFor example: \n\n- 132 documents to rank = 2 queries\n\n- 200 documents to rank = 2 queries\n\n- 399 documents to rank = 4 queries\n\n- 401 documents to rank = 5 queries\n\nWhat's next\n-----------\n\n- Read the [AI Applications documentation](/generative-ai-app-builder/docs).\n- Try the [Pricing calculator](/products/calculator).\n\n#### Request a custom quote\n\nWith Google Cloud's pay-as-you-go pricing, you only pay for the services you use. Connect with our sales team to get a custom quote for your organization.\n[Contact sales](/contact?direct=true)"]]
