# Amazon — Introducing Reflection Beam: an open-weight model for agentic coding on AWS

- Company: Amazon (amazon.com)
- Announced: 2026-10-16T15:23:10+00:00
- Category: developer-tool-release
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://aws.amazon.com/blogs/machine-learning/introducing-reflection-beam-an-open-weight-model-for-agentic-coding-on-aws/
- Record: https://forck.live/items/23589-introducing-reflection-beam-an-open-weight-model-for-agentic-coding-on-aws
- Subject: Bedrock / Nova
- Open weights: yes
- Models affected: Beam, Beam 1.0
- License: Apache 2.0
- Context window: 1 million tokens

Reflection AI introduced Beam, an open-weight sparse mixture-of-experts model for agentic coding and long-horizon tasks, with 501 billion total parameters and 23 billion active parameters. The model is available in Amazon SageMaker JumpStart in two US East regions, and its weights are released on Hugging Face under the Apache 2.0 license in BF16, FP8, and NVFP4 checkpoint variants. The post provides deployment guidance for SageMaker JumpStart real-time endpoints and SageMaker HyperPod Inference.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/introducing-reflection-beam-an-open-weight-model-for-agentic-coding-on-aws/:

> Beam is a sparse mixture-of-experts model for resolving software issues, modifying code, calling tools, and acting on intermediate results. It has 501 billion total parameters and 23 billion active parameters, and Reflection reports an effective context length of 1 million tokens.

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