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AWS says Claude Haiku 5.5 is available on Amazon Bedrock and Claude Platform on AWS, and Anthropic calls it the fastest and most efficient model in the Claude 5.5 family.
OpenAI says GPT-6.1 Sol gets close to GPT-6 Astra on coding and professional work for one-fifth the token price, and AWS lists it as generally available on Bedrock.
Anthropic calls Claude Sonnet 5.5 a significantly cheaper, faster work partner, and AWS has it live on Bedrock, but the efficiency claims are still vendor framing.
AWS made Moonshot AI’s Kimi K3 available on Amazon Bedrock on September 18, 2026, with native vision, a 1-million-token context window, and Bedrock’s first explicit prompt caching support for an open-weight model, roughly two months after Moonshot itself launched K3.
Amazon Bedrock AgentCore Identity now ships a managed Consent portal that handles end-user OAuth consent and session binding for AI agents, replacing the callback infrastructure developers previously had to build themselves.
AWS published a technical guide on September 4 showing developers how to run a continuous Physical AI model factory, generating synthetic data, post-training, and closed-loop evaluation, using Nvidia’s Cosmos 3 world model on a persistent Amazon SageMaker HyperPod cluster.
AWS published a reference architecture and GitHub repo on August 31, 2026, showing how to build a multi-tenant agentic document chat app on Amazon Bedrock Managed Knowledge Base, with a specific focus on keeping one user’s uploads invisible to every other user.
Amazon SageMaker Feature Store now offers BatchWriteRecord and ListRecords, letting ML teams batch write and discover records across feature groups instead of making one API call per record.
Amazon OpenSearch Service now supports MCP Apps, pairing every agent response with an interactive visualization so engineers can verify root-cause findings without switching tools.
OpenAI and AWS are positioning GPT‑5.6 Sol, Terra, and Luna as three cost-capability choices inside Kiro. A Terra test showed roughly 82% lower cost for successful Terminal‑Bench 2.1 tasks, but the result needs careful interpretation.