Reflection AI Unveils Beam, an Open-Weight Model Aimed at Chinese Rivals

Reflection AI on Monday, October 5, 2026, officially unveiled Beam, its first frontier open-weight AI model, TechCrunch reported. The two-year-old Brooklyn-based startup claims Beam matches leading Chinese open models on advanced reasoning benchmarks at much lower cost, a pitch aimed squarely at the market built by DeepSeek, Qwen and Z.ai.

What Reflection says Beam is

According to the company’s blog post, as summarized by TechCrunch, Beam is a text-only mixture-of-experts model with 501 billion parameters, of which 23 billion are active at a time. It was pretrained on 23.8 trillion tokens, has a context window of 1 million tokens and was trained with high-compute reinforcement learning for reasoning, coding and agentic tasks. Reflection calls it a “workhorse model” for enterprises, the public sector and developers.

Reflection says Beam scores on par with Z.ai’s GLM-5.2, which has roughly 744 billion total parameters and 40 billion active, while using “3-4x less inference compute.” TechCrunch noted that these claims have not been independently verified. The company’s own benchmarks show Beam ahead of Inkling, the open model released in July by Mira Murati’s Thinking Machines Lab, on four coding tests where both report results, though Inkling is multimodal and Beam is text-only.

Money, chips and AI factories

Reflection was founded in 2024 by two former Google DeepMind researchers and has raised roughly $4.7 billion from backers including Nvidia, Sequoia Capital and Lightspeed Venture Partners, according to PitchBook data cited by TechCrunch. Its last round valued the company at $25 billion before the new money. This summer it signed deals worth more than $7 billion in total with SpaceX and Nebius for access to Nvidia GB300 chips through 2029.

The company is aiming Beam at enterprises and governments through what it calls “AI factories,” which would let institutions train Reflection’s models on their own data to build customized local systems. Axios reported that hedge funds and trading firms are among those interested, and Reflection is testing a sovereign AI factory partnership with Shinsegae Group in South Korea.

Why it matters

Open-weight models give buyers more control over where AI runs and what it costs, and price competition among US labs has been intensifying; see our report on OpenAI’s half-price GPT-6 Sol and Luna. Nvidia, a Reflection investor, has also been building tools for running AI agents more safely; see our report on its hardware-backed safety platform.

What to watch

Reflection says it will release Beam’s weights and full technical details this month, with distribution through hyperscalers and neoclouds and integrations with open-source libraries at launch. Independent benchmark results, and how many enterprises actually deploy the model, will show whether the cost claims hold up.