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TLDRocket 5 October 2026

Open-weight AI is having a cost-accounting moment. Reflection AI’s new Beam—501B total parameters with 23B active, built for a 1 million token context window—arrives explicitly to undercut the “use closed models or overpay” bargain, aiming to match leading Chinese open reasoning models while using less compute. The pitch isn’t just better benchmarks; it’s “AI factory” deployments, where institutions can run local, customized systems from Beam’s weights and technical details rather than begging for access to proprietary APIs.

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