Merge pull request #11610 from mendix/kv-model-update

Add Anthropic Claude Opus 5 model

Author: Karuna-Mendix

content/en/docs/genai/mendix-cloud-genai/mendix-cloud-grp.md

@@ -51,6 +51,7 @@ The Mendix Cloud GenAI Resource Packs provide access to the following models:
 | Anthropic Claude Opus 4.6 | Text | Mendix Cloud EU (Frankfurt, Germany) | YES | eu-north-1,<br> Europe (Paris),<br> eu-south-1,<br> eu-south-2,<br> Europe (Ireland),<br> Europe (Frankfurt) |
 | Anthropic Claude Opus 4.7 | Text | Mendix Cloud EU (Frankfurt, Germany) | YES | eu-north-1,<br> Europe (Paris),<br> eu-south-1,<br> eu-south-2,<br> Europe (Ireland),<br> Europe (Frankfurt) |
 | Anthropic Claude Opus 4.8 | Text | Mendix Cloud EU (Frankfurt, Germany) | YES | eu-north-1,<br> Europe (Paris),<br> eu-south-1,<br> eu-south-2,<br> Europe (Ireland),<br> Europe (Frankfurt) |
+| Anthropic Claude Opus 5 | Text | Mendix Cloud EU (Frankfurt, Germany) | YES | eu-north-1,<br> Europe (Paris),<br> eu-south-1,<br> eu-south-2,<br> Europe (Ireland),<br> Europe (Frankfurt) |
 | Cohere Embed v4 | Embeddings | Mendix Cloud EU (Frankfurt, Germany) | YES | eu-north-1,<br> Europe (Paris),<br> eu-south-1,<br> eu-south-2,<br> Europe (Ireland),<br> Europe (Frankfurt) |
 | Cohere Embed v3 <br> English and multilingual | Embeddings | Mendix Cloud EU (Frankfurt, Germany) <br> Mendix Cloud Canada (Montreal) | NO | Europe (Frankfurt),<br> ca-central-1 |
 
@@ -76,6 +77,7 @@ For example, if you allocate 50 Cloud Tokens per month, your resource receives 5
 | Claude Opus 4.6 | 179.07 | 895.35 |
 | Claude Opus 4.7 | 179.07 | 895.35 |
 | Claude Opus 4.8 | 179.07 | 895.35 |
+| Claude Opus 5 | 179.07 | 895.35 |
 | Cohere Embed V3 English | 30.23 | — |
 | Cohere Embed V3 Multilingual | 30.23 | — |
 | Cohere Embed V4 | 30.23 | — |
@@ -90,11 +92,9 @@ Unused GenAI Units at the end of a bundle month do not carry over. Your balance
 
 Company Admins can obtain access to GenAI resources through a self-service capability, enabling them to provision, deprovision, and manage resources independently from the Control Center. This enables faster provisioning and reduces manual dependency.
 
-For Company Admins who do not meet the self-service prerequisites, GenAI resources can still be provisioned or deprovisioned by contacting a sales representative or Customer Success Manager (CSM) to order the existing stock keeping unit (SKU) associated with your Mendix subscription.
-
 ### Provisioning GenAI Resources Using the Self-Service Capability
 
-When using the self-service capability, Company Admins can manage the provisioning and deprovisioning of GenAI resources directly through the [Control Center](https://controlcenter.mendix.com/index.html). They can provision the new resource, review it, and open it in a new tab of the [Mendix Cloud GenAI portal](https://genai.home.mendix.com/p/homepage). For more information, see [GenAI Resources](/control-center/genai-resources-self-service/).
+Using the self-service capability, Company Admins can manage the provisioning and deprovisioning of GenAI resources directly through the [Control Center](https://controlcenter.mendix.com/index.html). They can provision the new resource, review it, and open it in a new tab of the [Mendix Cloud GenAI portal](https://genai.home.mendix.com/p/homepage). For more information, see [GenAI Resources](/control-center/genai-resources-self-service/).
 
 To provision GenAI resources successfully using self-service, ensure that you meet the requirements below:
 
@@ -103,10 +103,6 @@ To provision GenAI resources successfully using self-service, ensure that you me
 
 For further details, see the [Prerequisites](/control-center/genai-resources-self-service/#prerequisites) section of *GenAI Resources*.
 
-### Provisioning GenAI Resources Without Using the Self-Service Capability
-
-If the self-service capability is not available in your environment, you can still provision your GenAI resources by ordering the existing SKU associated with your Mendix subscription. To do so, contact your sales representative or CSM.
-
 ## Knowledge Bases
 
 Mendix Cloud Knowledge Base Resource Packs provide customers with an elastic, logically isolated vector database to use for standard Generative AI architectural patterns such as Retrieval-Augmented Generation (RAG), semantic similarity search, and other Generative AI use cases. The Knowledge Bases on Mendix Cloud are based on AWS's highly secure Amazon Bedrock Knowledge Bases capability, combined with AWS' OpenSearch Serverless database—a widely adopted standard infrastructure for Generative AI Knowledge Bases on AWS, ensuring fast and accurate information retrieval.