Reflection AI debuts open-source Beam model with 501B parameters
501B parameters, sparse MoE architecture, open weights — Reflection AI's Beam joins the race for scale-efficient reasoning models.
Why it matters
Reflection AI releases Beam, a 501B-parameter open-weight model using sparse MoE, signaling continued momentum in large open-source LLM launches. The move comes after a $25B valuation and $6.3B infrastructure deal with SpaceX for Nvidia GB300 capacity — a concrete pairing of funding, compute, and model release that speaks to the buildout velocity and commercial positioning behind frontier-scale open models.
The key facts
5 to knowBeam: 501 billion parameters, open-source release
Sparse MoE architecture (inference optimization implied)
Reflection AI $25 billion valuation (recent funding)
$6.3 billion SpaceX deal for Nvidia GB300 NVL72 appliances
Open-weights drop signals continued scale-model release cadence
The story so far
Earlier coverage of this storyline
Go to the source
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Publisher excerpt: Reflection AI Inc. today introduced Beam, an open-source large language model with 501 billion parameters. The launch comes a few months after the startup raised funding at a $25 billion valuation. Around the same time, Reflection AI reportedly inked a $6.3 billion deal with SpaceX Corp. to rent…