# TechCrunch — Reflection debuts Beam, an open-weight AI model to rival Chinese models at lower compute cost

- Company: TechCrunch (techcrunch.com)
- Announced: 2026-10-05T19:33:53+00:00
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://techcrunch.com/2026/10/05/reflection-debuts-beam-a-open-weight-ai-model-to-rival-chinese-models-at-lower-compute-cost/
- Record: https://forck.live/items/16091-reflection-debuts-beam-an-open-weight-ai-model-to-rival-chinese-models-at
- Subject: Reporting
- Open weights: yes
- Models affected: Beam
- Context window: 1 million token context window

Reflection AI unveiled Beam, a 501-billion-parameter open-weight mixture-of-experts model with 23 billion active parameters, pre-trained on 23.8 trillion tokens and a 1 million token context window. The company claims Beam matches leading Chinese open models on advanced reasoning benchmarks while using 3-4x less inference compute. Reflection will release Beam's weights and full technical details this month.

## Evidence

Verbatim from https://techcrunch.com/2026/10/05/reflection-debuts-beam-a-open-weight-ai-model-to-rival-chinese-models-at-lower-compute-cost/:

> Beam is a 501-billion-parameter model with 23 billion active parameters. It was pre-trained on 23.8 trillion tokens and has a 1 million token context window.

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Record: https://forck.live/items/16091-reflection-debuts-beam-an-open-weight-ai-model-to-rival-chinese-models-at
Catalogue: https://forck.live/llms.txt
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