Microsoft has launched its Decision-1 model, entering the AI decision model market. Built on Qwen3.5-9B, it achieved 83.5 percent accuracy with 85 ms latency across 36 benchmarks in company tests.
Reports mentioning Qwen3.5-9B
Microsoft has released Microsoft-Decision-1, a novel decision-scoring model designed for tasks such as routing, classification, verification, and agent control. Unlike generative AI models that produce text, Microsoft-Decision-1 is engineered to return a calibrated probability for each predefined answer option.
JetBrains has released Mellum2.1, an open-source model specifically designed for coding agents and fast sub-agents. This 12 billion parameter mixture-of-experts (MoE) thinking model activates approximately 2.5 billion parameters per token.
Cloudflare has released Clef and Clef-flash, two new open-weight decision models developed by its Workers AI team. Unlike traditional large language models (LLMs) that generate text token by token and require parsing, these models are designed to process an input…
MirroS has released Code-as-World, a novel paradigm that represents physical worlds through executable world representations, moving beyond pixel-based analysis. The core argument posits that pixels in a video are merely evidence of a physical scene, not its fundamental ontology.