Vertex AI は、Google パートナーが開発したモデルのキュレーション リストをサポートしています。パートナー モデルは、Vertex AI で Model as a Service（MaaS）として使用でき、マネージド API として提供されます。パートナー モデルを使用する場合、リクエストは引き続き Vertex AI エンドポイントに送信されます。パートナー モデルはサーバーレスであるため、インフラストラクチャのプロビジョニングや管理は必要ありません。
パートナー モデルは Model Garden で見つけることができます。Model Garden を使用してモデルをデプロイすることもできます。詳細については、Model Garden で AI モデルを確認するをご覧ください。利用可能な各パートナー モデルの情報は Model Garden のモデルカードで確認できますが、このガイドでは、Vertex AI で MaaS として機能するサードパーティ モデルのみを説明しています。
Anthropic Claude モデルと Mistral モデルは、Vertex AI で使用できるサードパーティのマネージド モデルの例です。
容量保証付きの Vertex AI パートナー モデルの料金
Google は、一部のパートナー モデル向けにプロビジョンド スループットを提供しており、これにより、固定料金でモデルのスループット容量を確保できます。利用者は、スループット容量と、その容量を確保するリージョンを選択できます。プロビジョンド スループットのリクエストは、標準の従量課金制リクエストよりも優先されるため、可用性が向上します。システムが過負荷状態でも、そのスループットが確保したスループット容量内であれば、リクエストは完了できます。詳細やサービスへの登録については、営業担当者にお問い合わせください。
PRINCIPAL は、プリンシパルの ID に置き換えます。ID の形式は user|group|serviceAccount:email または domain:domain です（例: user:cloudysanfrancisco@gmail.com、group:admins@example.com、serviceAccount:test123@example.domain.com、domain:example.domain.com）。
[[["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"]],["最終更新日 2025-09-04 UTC。"],[],[],null,["# Vertex AI partner models for MaaS\n\nVertex AI supports a curated list of models developed by Google partners.\nPartner models can be used with [Vertex AI](/vertex-ai) as a model as a\nservice (MaaS) and are offered as a managed API. When you use a partner model,\nyou continue to send your requests to Vertex AI endpoints. Partner models\nare serverless so there's no need to provision or manage infrastructure.\n\nPartner models can be discovered using Model Garden. You can also\ndeploy models using Model Garden. For more information, see [Explore AI\nmodels in\nModel Garden](/vertex-ai/generative-ai/docs/model-garden/explore-models).\nWhile information about each available partner model can be found on its model\ncard in Model Garden, only third-party models that perform as a\nMaaS with Vertex AI are documented in this guide.\n\nAnthropic's Claude and Mistral models are examples of third-party managed models\nthat are available to use on Vertex AI.\n\nPartner models\n--------------\n\nThe following partner models are offered as managed APIs on Vertex AI\nModel Garden (MaaS): \n\nVertex AI partner model pricing with capacity assurance\n-------------------------------------------------------\n\nGoogle offers provisioned throughput for some partner models that reserves\nthroughput capacity for your models for a fixed fee. You decide on the\nthroughput capacity and in which regions to reserve that capacity. Because\nprovisioned throughput requests are prioritized over the standard pay-as-you-go\nrequests, provisioned throughput provides increased availability. When the\nsystem is overloaded, your requests can still be completed as long as the\nthroughput remains under your reserved throughput capacity. For more information\nor to subscribe to the service, [Contact sales](/contact).\n\nRegional and global endpoints\n-----------------------------\n\nFor regional endpoints, requests are served from your specified region. In cases\nwhere you have data residency requirements or if a model doesn't support the\nglobal endpoint, use the regional endpoints.\n\nWhen you use the global endpoint, Google can process and serve your requests\nfrom any region that is supported by the model that you are using, which might\nresult in higher latency in some cases. The global endpoint helps improve\noverall availability and helps reduce errors.\n\nThere is no price difference with the regional endpoints when you use the global\nendpoint. However, the global endpoint quotas and supported model capabilities\ncan differ from the regional endpoints. For more information, view the related\nthird-party model page.\n\n### Specify the global endpoint\n\nTo use the global endpoint, set the region to `global`.\n\nFor example, the request URL for a curl command uses the following format:\n`https://aiplatform.googleapis.com/v1/projects/`\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e`/locations/`**global** `/publishers/`\u003cvar translate=\"no\"\u003ePUBLISHER_NAME\u003c/var\u003e`/models/`\u003cvar translate=\"no\"\u003eMODEL_NAME\u003c/var\u003e\n\nFor the Vertex AI SDK, a regional endpoint is the default. Set the\nregion to `GLOBAL` to use the global endpoint.\n\n### Supported models\n\nThe global endpoint is available for the following models:\n\n- [Claude Opus 4.1](/vertex-ai/generative-ai/docs/partner-models/claude/use-claude#regions)\n- [Claude Opus 4](/vertex-ai/generative-ai/docs/partner-models/claude/use-claude#regions)\n- [Claude Sonnet 4](/vertex-ai/generative-ai/docs/partner-models/claude/use-claude#regions)\n- [Claude 3.7 Sonnet](/vertex-ai/generative-ai/docs/partner-models/claude/use-claude#regions)\n- [Claude 3.5 Sonnet v2](/vertex-ai/generative-ai/docs/partner-models/claude/use-claude#regions)\n\n\u003cbr /\u003e\n\n| **Note:** Prompt Caching is supported when using the global endpoint. Provisioned Throughput isn't supported when using the global endpoint.\n\n### Restrict global API endpoint usage\n\nTo help enforce the use of regional endpoints, use the\n`constraints/gcp.restrictEndpointUsage` organization policy constraint to block\nrequests to the global API endpoint. For more information, see\n[Restricting endpoint usage](/assured-workloads/docs/restrict-endpoint-usage).\n\nGrant user access to partner models\n-----------------------------------\n\nFor you to enable partner models and make a prompt request, a Google Cloud\nadministrator must [set the required permissions](#set-permissions) and [verify\nthe organization policy allows the use of required\nAPIs](#set-organization-policy).\n\n### Set required permissions to use partner models\n\nThe following roles and permissions are required to use partner models:\n\n- You must have the Consumer Procurement Entitlement Manager\n Identity and Access Management (IAM) role. Anyone who's been granted this role can\n enable partner models in Model Garden.\n\n- You must have the `aiplatform.endpoints.predict` permission. This permission\n is included in the Vertex AI User IAM role. For more\n information, see [Vertex AI\n User](/vertex-ai/docs/general/access-control#aiplatform.user) and\n [Access control](/vertex-ai/generative-ai/docs/access-control#permissions).\n\n### Console\n\n1. To grant the Consumer Procurement Entitlement Manager IAM\n roles to a user, go to the **IAM** page.\n\n [Go to IAM](https://console.cloud.google.com/projectselector/iam-admin/iam?supportedpurview=)\n2. In the **Principal** column, find the user\n [principal](/iam/docs/overview#concepts_related_identity) for which you\n want to enable access to partner models, and then click\n edit **Edit principal** in that row.\n\n3. In the **Edit access** pane, click\n add **Add another role**.\n\n4. In **Select a role** , select **Consumer Procurement Entitlement Manager**.\n\n5. In the **Edit access** pane, click\n add **Add another role**.\n\n6. In **Select a role** , select **Vertex AI User**.\n\n7. Click **Save**.\n\n### gcloud\n\n\n1. In the Google Cloud console, activate Cloud Shell.\n\n [Activate Cloud Shell](https://console.cloud.google.com/?cloudshell=true)\n2. Grant the Consumer Procurement Entitlement Manager role that's required\n to enable partner models in Model Garden\n\n gcloud projects add-iam-policy-binding \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e \\\n --member=\u003cvar translate=\"no\"\u003ePRINCIPAL\u003c/var\u003e --role=roles/consumerprocurement.entitlementManager\n\n3. Grant the Vertex AI User role that includes the\n `aiplatform.endpoints.predict` permission which is required to make\n prompt requests:\n\n gcloud projects add-iam-policy-binding \u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e \\\n --member=\u003cvar translate=\"no\"\u003ePRINCIPAL\u003c/var\u003e --role=roles/aiplatform.user\n\n Replace \u003cvar translate=\"no\"\u003ePRINCIPAL\u003c/var\u003e with the identifier for\n the principal. The identifier takes the form\n `user|group|serviceAccount:email` or `domain:domain`---for\n example, `user:cloudysanfrancisco@gmail.com`,\n `group:admins@example.com`,\n `serviceAccount:test123@example.domain.com`, or\n `domain:example.domain.com`.\n\n The output is a list of policy bindings that includes the following: \n\n - members:\n - user:\u003cvar translate=\"no\"\u003ePRINCIPAL\u003c/var\u003e\n role: roles/roles/consumerprocurement.entitlementManager\n\n For more information, see\n [Grant a single role](/iam/docs/granting-changing-revoking-access#grant-single-role)\n and\n [`gcloud projects add-iam-policy-binding`](/sdk/gcloud/reference/projects/add-iam-policy-binding).\n\n### Set the organization policy for partner model access\n\nTo enable partner models, your organization policy must allow the following\nAPI: Cloud Commerce Consumer Procurement API - `cloudcommerceconsumerprocurement.googleapis.com`\n\nIf your organization sets an organization policy to\n[restrict service usage](/resource-manager/docs/organization-policy/restricting-resources),\nthen an organization administrator must verify that\n`cloudcommerceconsumerprocurement.googleapis.com` is allowed by\n[setting the organization policy](/resource-manager/docs/organization-policy/restricting-resources#setting_the_organization_policy).\n\nAlso, if you have an organization policy that restricts model usage in\nModel Garden, the policy must allow access to partner models. For more\ninformation, see [Control model\naccess](/vertex-ai/generative-ai/docs/control-model-access).\n\n### Partner model regulatory compliance\n\nThe [certifications](/security/compliance/services-in-scope) for\n[Generative AI on Vertex AI](/vertex-ai/generative-ai/docs/overview) continue to\napply when partner models are used as a managed API using Vertex AI.\nIf you need details about the models themselves, additional information can be\nfound in the respective Model Card, or you can contact the respective model\npublisher.\n\nYour data is stored at rest within the selected region or multi-region for\npartner models on Vertex AI, but the regionalization of data\nprocessing may vary. For a detailed list of partner models' data processing\ncommitments, see [Data residency for partner\nmodels](/vertex-ai/generative-ai/docs/learn/locations#ml-processing-partner-models).\n\nCustomer prompts and model responses are not shared with third-parties when\nusing the Vertex AI API, including partner models. Google only processes\nCustomer Data as instructed by the Customer, which is further described in our\n[Cloud Data Processing Addendum](/terms/data-processing-addendum)."]]
