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Microsoft Launches Decision-1, Low-Cost Specialist Model for Agent Control and Routing
Microsoft released Microsoft-Decision-1 (post-trained on Qwen3.5-9B), a classifier model outputting probabilities for predefined options.
TLDR
Microsoft-Decision-1 is priced at $0.042 per million input tokens, with reported accuracy of about 83.5% and latency of 85ms. A post argues that comparing it with Jev and Clef through a shared LiteLLM entry point requires testing fixed inputs, recording model versions, latency and cost, checking edge cases and setting rollback conditions—not just adding a routing option.
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