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Microsoft Releases Decision-1: A Scoring Model That Decides Instead of Writing

On October 9, Microsoft released Decision-1, a scoring model for structured decisions. It writes no text — it picks the best option from a given set and returns probability scores. Built on Alibaba's Qwen3.5-9B, input costs $0.042 per million tokens, output is free. The decision-model track that startups heated up last month now has Microsoft, OpenAI, and Cloudflare all in.

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Reflection AI Launches Beam: 501B-Parameter Open Model Takes on DeepSeek and Qwen

Nvidia-backed Reflection AI released its first open-weight model Beam on October 5: 501B total parameters with only 23B active per token, 1M-token context. The company claims reasoning performance close to Zhipu's GLM-5.2 at one-quarter to one-third the inference compute, with weights coming later in October under Apache 2.0.