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Microsoft releases Microsoft-Decision-1
On October 9, Microsoft launched the Microsoft-Decision-1 decision model. The model does not generate text; instead, it performs a single forward-pass scoring of preset answer options and returns a calibrated probability for each option, and can be used for routing, classification, prioritization, and verification. The model is post-trained on Alibaba's Qwen3.5-9B, is in public beta on Microsoft Foundry, and is available on OpenRouter under the identifier microsoft/microsoft-decision-1; its weights are not distributed publicly. Microsoft says it achieved 83.5% accuracy on 36 benchmarks and about 150,000 held-out questions, and plans to later migrate the base to MAI and OpenAI models. The OpenRouter listing shows a price of $0.042 per million input tokens and free output. Other reports say it is 2.5 times faster than the second-place H2O-Lightning-4B.
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View story:Microsoft releases the Microsoft-Decision-1 decision scoring model
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Microsoft releases preview of image editing model MAI Image 2.7
On October 27, 2026, Microsoft AI released the image editing model MAI Image 2.7, launching it in preview form. The Microsoft AI Blog said that the model ranks 3rd on Arena Edit and 2nd on the Artificial Analysis image editing leaderboard, making Microsoft AI the 2nd-ranked lab; the company also said that it outperforms 2.6 on all 10 use cases and 7 categories of editing actions evaluated by Artificial Analysis, and leads the next-best model by 24 Elo on scenes and styles. A subsequent IT Home report said that the model ranks 2nd on the AA-Image-Editing v2.1 leaderboard with 1193 Elo, second only to OpenAI's GPT Image 2.5 Sunburst (max). Users can currently try it on Arena, Artificial Analysis, and the MAI Playground, with text-to-image functionality coming soon; Microsoft has not yet announced a public API, pricing, or an official commercial launch date, and the model weights have not been released.
On October 27, 2026, Microsoft AI released the image editing model MAI Image 2.7, launching it in preview form. The Microsoft AI Blog said that the model ranks 3rd on Arena Edit and 2nd on the Artificial Analysis image editing leaderboard, making Microsoft AI the 2nd-ranked lab; the company also said that it outperforms 2.6 on all 10 use cases and 7 categories of editing actions evaluated by Artificial Analysis, and leads the next-best model by 24 Elo on scenes and styles. A subsequent IT Home r
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Microsoft releases preview version of image editing model MAI Image 2.7
On October 27, 2026, Microsoft AI released the image editing model MAI Image 2.7, launching it in preview form. The Microsoft AI Blog said that the model ranks 3rd on Arena Edit and 2nd on the Artificial Analysis image editing leaderboard, making Microsoft AI the 2nd-ranked lab; the company also said that it outperforms 2.6 on all 10 use cases and 7 categories of editing actions evaluated by Artificial Analysis, and leads the next-best model by 24 Elo on scenes and styles. A subsequent IT Home report said that the model ranks 2nd on the AA-Image-Editing v2.1 leaderboard with 1193 Elo, second only to OpenAI's GPT Image 2.5 Sunburst (max). Users can currently try it on Arena, Artificial Analysis, and the MAI Playground, with text-to-image functionality coming soon; Microsoft has not yet announced a public API, pricing, or an official commercial launch date, and the model weights have not been released.
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View story:Microsoft releases preview of image editing model MAI Image 2.7
Microsoft releases the Microsoft-Decision-1 decision scoring model
On October 9, Microsoft launched the Microsoft-Decision-1 decision model. The model does not generate text; instead, it performs a single forward-pass scoring of preset answer options and returns a calibrated probability for each option, and can be used for routing, classification, prioritization, and verification. The model is post-trained on Alibaba's Qwen3.5-9B, is in public beta on Microsoft Foundry, and is available on OpenRouter under the identifier microsoft/microsoft-decision-1; its weights are not distributed publicly. Microsoft says it achieved 83.5% accuracy on 36 benchmarks and about 150,000 held-out questions, and plans to later migrate the base to MAI and OpenAI models. The OpenRouter listing shows a price of $0.042 per million input tokens and free output. Other reports say it is 2.5 times faster than the second-place H2O-Lightning-4B.
On October 9, Microsoft launched the Microsoft-Decision-1 decision model. The model does not generate text; instead, it performs a single forward-pass scoring of preset answer options and returns a calibrated probability for each option, and can be used for routing, classification, prioritization, and verification. The model is post-trained on Alibaba's Qwen3.5-9B, is in public beta on Microsoft Foundry, and is available on OpenRouter under the identifier microsoft/microsoft-decision-1; its weig
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