Reflection AI has launched Beam, a new open-source large language model boasting 501 billion parameters, according to SiliconANGLE. The release follows closely on the heels of the startup securing funding at a $25 billion valuation and striking a multibillion-dollar compute deal with SpaceX, underscoring the serious momentum behind the project.

Beam is designed with coding and agentic workloads in mind, using a sparse mixture-of-experts architecture that activates only 23 billion parameters at a time—delivering strong reasoning performance while keeping inference costs down. Industry coverage notes it performs competitively against other leading models while requiring significantly less compute, a meaningful efficiency gain for teams building production-grade AI agents.

By releasing Beam under an open license, Reflection AI is giving developers, startups, and enterprises direct access to frontier-level capability without the usual barriers of proprietary systems. This kind of openness tends to accelerate experimentation, lower costs of entry, and widen the pool of teams able to build sophisticated, agentic applications.

At Generative AI Solutions, we're encouraged to see powerful open models like this lowering the barrier for teams building fast, capable AI products.