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title: AWS Weekly Roundup: GPT-6.1 Terra on Bedrock, Step...
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# AWS Weekly Roundup: GPT-6.1 Terra on Bedrock, Step Functions as agent tools, and more (November 2, 2026)

**[AWS](https://daily.dev/sources/aws)** · 8 min read · 0 upvotes · 0 comments

## Summary

OpenAI's GPT-6.1 Terra model is now generally available on Amazon Bedrock, priced at least 50% lower than GPT-6.1 Sol and GPT-5.6 Terra while scoring 15 percentage points higher than GPT-5.6 Terra on OpenAI's Agents' Last Exam. AWS Step Functions workflows can now be exposed to AI agents as tools through Bedrock AgentCore Gateway over MCP, letting an agent trigger a workflow while Step Functions executes each step in fixed order. Other launches include ML-KEM post-quantum key encapsulation in AWS KMS, cross-Region trusted identity propagation in IAM Identity Center, GPU sharing on Amazon ECS via NVIDIA MPS, and SOCI lazy loading cutting Lambda container startup time by up to 70%. Nubank reportedly cut a disaster recovery test cycle from 4.3 hours to 40 minutes using the AWS DevOps Agent.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/blogs/aws/aws-weekly-roundup-gpt-6-1-terra-on-bedrock-step-functions-as-agent-tools-and-more-november-2-2026>

## Questions this post answers

### How much cheaper is GPT-6.1 Terra on Amazon Bedrock compared to other GPT-6 models?

GPT-6.1 Terra's input and output token pricing on Amazon Bedrock is at least 50% lower than both GPT-6.1 Sol and GPT-5.6 Terra. It also scored 15 percentage points higher than GPT-5.6 Terra on OpenAI's Agents' Last Exam evaluation, matched GPT-6 Astra's performance, and completed tasks more than three times faster than both, according to OpenAI's own figures. It supports up to 1 million input tokens with text and image input.

_Developers comparing Bedrock model costs can track pricing changes like this on daily.dev._

### How do I let an AI agent call AWS Step Functions workflows as tools?

AWS Step Functions workflows can be registered as AI agent tools through Amazon Bedrock AgentCore Gateway, which connects agents to tools over the Model Context Protocol. Existing Standard and Express workflows qualify as connector targets without any rewrite. The agent decides when to run a workflow and what input to pass, while Step Functions executes each step in the exact order defined, keeping approval sequences intact.

_Teams wiring agents into existing workflows follow AgentCore and MCP updates like this on daily.dev._

### How much does SOCI lazy loading speed up AWS Lambda container startup times?

Seekable OCI (SOCI) lazy loading cuts container startup time for AWS Lambda Managed Instances by up to 70%, since Lambda fetches only the files needed at each startup stage instead of pulling the whole image. For Amazon SageMaker AI training jobs, benchmarks showed lazy loading held at 3 to 11 seconds regardless of image size, versus a median 3 minutes 42 seconds for a 13.2 GB image, an 8x to 46x range.

_Engineers optimizing cold starts can keep up with container startup benchmarks like this on daily.dev._

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---

Tags: [#aws](https://daily.dev/tags/aws), [#quantum-computing](https://daily.dev/tags/quantum-computing), [#mcp](https://daily.dev/tags/mcp), [#amazon-bedrock](https://daily.dev/tags/amazon-bedrock)

[View this post on daily.dev](https://daily.dev/posts/aws-weekly-roundup-gpt-6-1-terra-on-bedrock-step-functions-as-agent-tools-and-more-november-2-2-vemf1po6y)

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