Reflection AI introduced Beam on October 5, 2026 — its first open-weight model. Beam is a sparse Mixture-of-Experts model with 501 billion total parameters and 23 billion active, built for coding, reasoning, and agentic workloads.
Beam was pretrained on 23.8 trillion tokens and has a 1 million token context window. Reflection claims Beam matches Z.ai’s GLM-5.2 on advanced reasoning benchmarks while using 3-4x less inference compute.
Beam is undergoing final red-teaming and evaluations. Early access via waitlist. Weights, technical report, model card, and developer artifacts will release later in October under Apache 2.0 license with distribution partners and open-source harness integrations.
Reflection trained a separate safety and alignment model from the same checkpoint, combined through distillation. Safety results planned in technical report alongside open-sourced safety tests.