Microsoft Launches Decision-1, a 9B Model for Automated Decision Scoring
Microsoft introduced Decision-1 on October 9, 2026, a specialized AI model built on Alibaba’s Qwen3.5-9B. Unlike general chatbots, it scores fixed answer options in a single pass, targeting incident response and scientific discovery. Priced at $0.042 per million input tokens with free output, it is available via Microsoft Foundry and OpenRouter. The launch signals a strategic shift toward narrow, high-efficiency decision-support tools over broad conversational agents.
Key points
- Microsoft, the technology giant, launched Decision-1 on October 9, 2026, a specialized model designed to score fixed answer options rather than generate open-ended text.
- The model is built on Alibaba’s Qwen3.5-9B base and is currently available through Microsoft Foundry, with OpenRouter access following shortly after.
- Decision-1 is priced at $0.042 per million input tokens with free output, and it has been tested across 36 benchmarks comprising nearly 150,000 questions.
- Microsoft plans to use the model internally for incident response and scientific discovery, positioning it as a tool for calibrated judgment rather than creative drafting.
- The launch contrasts with industry trends favoring larger conversational assistants, suggesting a market segment for narrow, high-efficiency decision-support systems.
- A rebasing plan is in place to handle potential changes in the underlying Qwen model, addressing risks associated with relying on third-party base architectures.
Microsoft has introduced Decision-1, a specialized artificial intelligence model designed to streamline decision-making processes by scoring fixed answer options in a single forward pass. Announced on October 9, 2026, the model diverges from the industry’s prevailing focus on large, conversational assistants. Instead of generating open-ended text for emails or summaries, Decision-1 calculates probabilities for predefined choices, aiming to provide rapid, calibrated judgments for specific operational tasks.
The model is built upon Alibaba’s Qwen3.5-9B architecture and is immediately available through Microsoft Foundry, with access via OpenRouter following shortly. Microsoft has positioned the tool for internal applications ranging from IT incident response to scientific discovery, emphasizing its efficiency and narrow scope. Performance claims are supported by testing across 36 benchmarks involving nearly 150,000 questions, highlighting its utility in structured decision environments.
Pricing is set at $0.042 per million input tokens, with output costs currently free, making it an affordable option for high-volume decision scoring. This launch signals a strategic shift toward specialized, high-efficiency models that complement rather than replace general-purpose chatbots. As the industry continues to develop larger assistants, Microsoft’s focus on narrow, task-specific tools suggests a growing market for AI systems optimized for speed and precision in defined contexts. A rebasing plan is also in place to mitigate risks associated with the underlying Qwen architecture.
Sources
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