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GPT-6 Sol and Luna Models Now Generally Available on Amazon Bedrock

Amazon Bedrock now offers GPT-6 Sol and GPT-6 Luna, providing additional options for integrating intelligence and efficiency into various workloads.

By Illumora Editorial

Source · Sep 22, 2026, 6:10 PM · On Illumora · Sep 22, 2026, 6:18 PM

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Read the source →AWS Machine Learning Blog — Bring more intelligence to everyday work with GPT-6 Sol and GPT-6 Luna on Amazon Bedrock | Amazon Web Services
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GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock, according to the AWS Machine Learning Blog. This expansion offers users more choices to align intelligence and efficiency with specific workload requirements.

Key Points

  • GPT-6 Sol and GPT-6 Luna are generally available on Amazon Bedrock.
  • These models provide additional options for matching intelligence and efficiency to workloads.
  • Amazon Bedrock Data Automation can be combined with the Model Context Protocol (MCP) to convert unstructured data into structured insights.
  • Structured insights can be surfaced through natural language queries in Salesforce Agentforce.
  • Strands Evals and Amazon Bedrock AgentCore Evaluations measure skill selection and instruction following for agents.

Context

According to the AWS Machine Learning Blog, the general availability of GPT-6 Sol and GPT-6 Luna on Amazon Bedrock expands the range of models accessible to users. This allows for more tailored application of AI capabilities to diverse tasks. The blog also highlights how Amazon Bedrock Data Automation can be used with the Model Context Protocol (MCP) to process unstructured evidence, such as body camera footage and scanned documents, into structured insights for public sector agencies. These insights can then be queried using natural language within Salesforce Agentforce.

Why It Matters

The availability of GPT-6 Sol and GPT-6 Luna on Amazon Bedrock offers builders more flexibility in selecting models that best fit their specific intelligence and efficiency needs. This expansion, alongside tools for evaluating agent skills and processing unstructured data, can enhance the development and deployment of AI-powered applications.

What To Do

  • Review the capabilities of GPT-6 Sol and GPT-6 Luna on Amazon Bedrock to assess their suitability for current workloads.
  • Explore Amazon Bedrock Data Automation and the Model Context Protocol (MCP) for transforming unstructured data into actionable insights.
  • Investigate Strands Evals and Amazon Bedrock AgentCore Evaluations to measure agent performance in skill selection and instruction following.
  • Consider how natural language queries in Salesforce Agentforce could leverage structured insights from Amazon Bedrock for public sector applications.