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Beam

Reflection's 501B open-weight model for coding, reasoning and agents
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About Beam

Beam is Reflection's first open-weight model: a sparse Mixture-of-Experts system with 501 billion total parameters and 23 billion active per token, trained for coding, reasoning and agentic workloads. The weights are published on Hugging Face for anyone to download and run.

Reflection pairs the open release with a hosted API platform for teams that want Beam without operating their own infrastructure, and publishes a model card covering capability, pretraining and its safety and alignment approach.

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Perfect for

Developers and researchers who want a large open-weight model they can self-host or call through an API, especially for coding and agent-style workloads.

Solves these problems

Frontier-class models are usually closed. Beam gives builders a downloadable 501B-parameter open-weight option, with a hosted API when self-hosting is not practical.