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Mixture-of-Experts

81 summarised stories about Mixture-of-Experts, each linking back to the original source. Browse all topics →

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Monday, 5 October 2026

Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads

MarkTechPost 1 week ago 42 ● 6 sources

Reflection AI introduced Beam, its first open-weight sparse Mixture-of-Experts model built for coding and agentic work. Beam has 501B total parameters with 23B active per token. Self-hosting is not available yet as the model is in final red-teaming, with early access via a waitlist on Reflection’s platform.

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

TechCrunch 1 week ago 10 ● 6 sources

Reflection AI unveiled Beam, its first frontier open-weight AI model meant to match leading Chinese open models on reasoning while costing less compute. Beam has 501 billion total parameters with 23 billion active and uses a 1 million token context window. The release positions Reflection to compete with closed labs and other open models and to enable “AI factory” deployments where institutions build customized local systems using Beam’s weights and technical details.

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