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Reflection Launches Beam: A New Open-Weight AI Model

Reflection Launches Beam: A New Open-Weight AI Model

First seen 6 Oct 2026, 14:27 UTC • •
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ThreatCluster AI
ThreatCluster •October 6, 2026 at 21:29 UTC
  • •Beam features 501 billion parameters, activating 23 billion for efficiency.
  • •It matches GLM 5.2 in performance while using significantly less compute.
  • •Reflection plans to release Beam under the Apache 2.0 license later this month.

Reflection has introduced Beam, its first open-weight AI model designed for coding and reasoning tasks, featuring 501 billion parameters with 23 billion active per token. The model emphasizes compute efficiency, reportedly matching GLM 5.2's performance while using three to four times less compute. Beam was trained using reinforcement learning on 10,500 NVIDIA GPUs over four weeks, marking one of the largest training runs conducted by any open lab. The model is set to be released under the Apache 2.0 license later this month. Reflection aims to target businesses needing efficient AI solutions for coding and automated workflows. The company has noted emergent capabilities during training, including improved web browsing skills. A separate model was developed for safety and alignment, which was merged with Beam.

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Timeline

2026-10-05
Beam announced by Reflection
Reflection introduced Beam, focusing on coding and reasoning tasks with high compute efficiency.
News.Ycombinator
2026-10-06
Beam's capabilities highlighted
The model is reported to match GLM 5.2 while using three to four times less compute, targeting enterprise applications.
The-Decoder

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Common questions

What are Beam's primary use cases?
Beam is designed for coding, logical reasoning, and agentic tasks, targeting enterprise applications.
When will Beam be available?
Beam is expected to ship later this month under the Apache 2.0 license.
How does Beam compare to other models?
Beam matches GLM 5.2 in performance but is more compute-efficient, making it suitable for businesses with cost constraints.