--- title: Microsoft-Decision-1: a cheap, text-only decision model... description: Microsoft has launched Microsoft-Decision-1, a text-only decision-scoring model in Foundry built by post-training Alibaba's Qwen3.5-9B, arriving three days... canonical: https://daily.dev/posts/microsoft-decision-1-a-cheap-text-only-decision-model-built-on-qwen-uqzhbc7p7 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Microsoft-Decision-1: a cheap, text-only decision model built on Qwen | daily.dev og:description: Microsoft has launched Microsoft-Decision-1, a text-only decision-scoring model in Foundry built by post-training Alibaba's Qwen3.5-9B, arriving three days... og:url: https://daily.dev/posts/microsoft-decision-1-a-cheap-text-only-decision-model-built-on-qwen-uqzhbc7p7 og:image: https://api.daily.dev/og/posts/UQZhBc7P7.png og:image:alt: Microsoft-Decision-1: a cheap, text-only decision model built on Qwen og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Microsoft-Decision-1: a cheap, text-only decision model built on Qwen **[Collections](https://daily.dev/sources/collections)** · 2 min read · 0 upvotes · 0 comments ## Summary Microsoft has launched Microsoft-Decision-1, a text-only decision-scoring model in Foundry built by post-training Alibaba's Qwen3.5-9B, arriving three days after OpenAI opened its Decisions API to all developers. It costs $0.042 per million input tokens with no output charge, matching TypeSafe's Jev pricing, and is already used internally in Xbox Research, Copilot, on-call incident response, and Microsoft Discovery. It lacks image analysis (unlike OpenAI and Cloudflare offerings), has no announced open weights, and its System One API compatibility is unconfirmed. Adversarial testing showed only 1.3% of answers changed under perturbation, though it hasn't faced the tougher JevOut methodology that flipped most of a rival model's decisions. The piece closes by questioning accountability as cheap automated decisions scale across more applications. ## Content Microsoft has launched Microsoft-Decision-1 in Foundry, a model built for small, fast classification-style choices inside applications. It arrived three days after OpenAI opened its own Decisions API to all developers. ## What a decision model does These models don't write open-ended text. You give one some context and a set of possible answers, and it scores them so the app can decide what happens next. Typical jobs are spam detection, routing requests, or letting an AI agent decide whether to keep going or escalate to a human. ## Microsoft's version Decision-1 is post-trained on Alibaba's Qwen3.5-9B, not on an OpenAI base. That's a notable choice for a company so closely tied to OpenAI. - **Price:** $0.042 per million input tokens, with no charge for output. That matches TypeSafe's Jev pricing and makes it cheap to embed in an app. - **Internal use:** Microsoft says it already runs in Xbox Research, Copilot, on-call incident response and Microsoft Discovery. It claims the model is over 14x faster than GPT-6 Sol on some tasks. - **Timing:** It launched the same day TypeSafe announced an $870 million Series A at a $7.5 billion valuation. ## Limits Decision-1 is text-only. OpenAI's Decisions API and Cloudflare's offering both handle images, for example checking product photos for damage. Microsoft hasn't announced open weights, and it's unconfirmed whether the model works with the emerging System One API standard. In adversarial testing, Decision-1's answers changed only 1.3% of the time under perturbation. It hasn't been run against the more aggressive JevOut methodology, which flipped most of a rival model's correct decisions. So the robustness number is encouraging but incomplete. ## Cloudflare moves the same night Cloudflare shipped Clef-omni, a multimodal decision model that takes audio and video input, and cut the price of Clef-flash. The two launches landed within hours of each other. ## Why it matters I keep thinking about the quiet part. As more online activity gets scored this way, these predictions will start affecting people, and it isn't obvious who catches and corrects the mistakes. A 1.3% flip rate sounds small until you multiply it by millions of requests. ## Questions this post answers ### What is Microsoft Decision-1 and how does it price compared to other decision models? Microsoft Decision-1 is a text-only decision-scoring model launched in Microsoft Foundry, built by post-training Alibaba's Qwen3.5-9B rather than an OpenAI base model. It costs $0.042 per million input tokens with no charge for output, matching TypeSafe's Jev pricing. It scores predefined options for tasks like spam detection or routing, rather than generating open-ended text. _Developers comparing cheap decision-scoring APIs can track new model launches like this one on daily.dev._ ### Can Microsoft Decision-1 analyze images for decision-making tasks? No, Microsoft Decision-1 is text-only, unlike competing decision models from OpenAI and Cloudflare that can also analyze images, for example checking product photos for damage. Microsoft hasn't announced open weights for the model, and whether it supports the emerging System One API standard remains unconfirmed. _Anyone evaluating decision-model capabilities before integrating one can follow these gaps on daily.dev._ ### How robust is Microsoft Decision-1 against adversarial inputs? In adversarial testing, Decision-1's answers changed only 1.3% of the time under perturbation, a strong result on paper. However, it has not yet been tested against the more aggressive JevOut methodology, which flipped the majority of a rival model's correct decisions, so the 1.3% figure should be treated as a best-case number until that stress test runs. _Teams weighing reliability claims before trusting a decision model in production can follow robustness testing on daily.dev._ ## Similar posts on daily.dev - [Microsoft just admitted its biggest AI mistake — and spent $2.5 billion fixing it](https://daily.dev/posts/microsoft-just-admitted-its-biggest-ai-mistake-and-spent-2-5-billion-fixing-it-cxuqalrpi) · The New Stack · 0 upvotes · 0 comments - [Cloudflare Open Sources Decision Models for AI Agents](https://daily.dev/posts/cloudflare-open-sources-decision-models-for-ai-agents-bgwofrpdu) · InfoQ · 3 upvotes · 1 comments - [As AI agents grow, vendors carve out decision-making as a separate model layer](https://daily.dev/posts/as-ai-agents-grow-vendors-carve-out-decision-making-as-a-separate-model-layer-s16prsxwi) · InfoWorld · 0 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#microsoft](https://daily.dev/tags/microsoft), [#qwen](https://daily.dev/tags/qwen) [View this post on daily.dev](https://daily.dev/posts/microsoft-decision-1-a-cheap-text-only-decision-model-built-on-qwen-uqzhbc7p7) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Microsoft-Decision-1: a cheap, text-only decision model built on Qwen","url":"https://daily.dev/posts/microsoft-decision-1-a-cheap-text-only-decision-model-built-on-qwen-uqzhbc7p7","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/microsoft-decision-1-a-cheap-text-only-decision-model-built-on-qwen-uqzhbc7p7"},"datePublished":"2026-10-10T15:12:58.397Z","dateModified":"2026-10-11T12:39:12.555Z","description":"Microsoft has launched Microsoft-Decision-1, a text-only decision-scoring model in Foundry built by post-training Alibaba's Qwen3.5-9B, arriving three days...","image":"https://i.ytimg.com/vi/LB7RJ0ruFio/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/LB7RJ0ruFio/sddefault.jpg","isAccessibleForFree":true,"articleSection":"Collections","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Collections","logo":"https://media.daily.dev/image/upload/s--fk_6ycEi--/f_auto,q_auto/v1780996001/logos/collections?_a=BAMAMiWQ0","url":"https://daily.dev/sources/collections"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/microsoft-decision-1-a-cheap-text-only-decision-model-built-on-qwen-uqzhbc7p7","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,microsoft,qwen","timeRequired":"PT2M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Collections","item":"https://daily.dev/sources/collections"},{"@type":"ListItem","position":3,"name":"Microsoft-Decision-1: a cheap, text-only decision model built on Qwen"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/microsoft-decision-1-a-cheap-text-only-decision-model-built-on-qwen-uqzhbc7p7#faq","mainEntity":[{"@type":"Question","name":"What is Microsoft Decision-1 and how does it price compared to other decision models?","acceptedAnswer":{"@type":"Answer","text":"Microsoft Decision-1 is a text-only decision-scoring model launched in Microsoft Foundry, built by post-training Alibaba's Qwen3.5-9B rather than an OpenAI base model. It costs $0.042 per million input tokens with no charge for output, matching TypeSafe's Jev pricing. It scores predefined options for tasks like spam detection or routing, rather than generating open-ended text. Developers comparing cheap decision-scoring APIs can track new model launches like this one on daily.dev."}},{"@type":"Question","name":"Can Microsoft Decision-1 analyze images for decision-making tasks?","acceptedAnswer":{"@type":"Answer","text":"No, Microsoft Decision-1 is text-only, unlike competing decision models from OpenAI and Cloudflare that can also analyze images, for example checking product photos for damage. Microsoft hasn't announced open weights for the model, and whether it supports the emerging System One API standard remains unconfirmed. 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