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Description
Aion-1.0-Instruct is a newly introduced small language model available in Microsoft Edge as part of a developer preview aimed at early testing and gathering user feedback. This model has been specifically designed to enhance Edge’s on-device Prompt and Writing Assistance APIs, providing web developers with a quicker, smaller, and more efficient solution for AI-enhanced browser functionalities. Previously, Microsoft utilized Phi-4-mini for these APIs; however, its demanding hardware requirements restricted its accessibility on various devices. In contrast, Aion-1.0-Instruct broadens compatibility to a much larger array of devices, including those with less powerful GPUs and even those that rely solely on CPU inference without a GPU, all while maintaining high-quality performance across diverse web applications. Available in the Edge Canary and Dev channels, this model gives developers the opportunity to assess its performance in practical web environments, test the interoperability of APIs, and share their insights prior to final adjustments. Ultimately, Aion-1.0-Instruct is designed to empower developers to seamlessly integrate AI functionalities into their websites and browser extensions, promoting richer user experiences. Its potential impact on web development could greatly enhance the accessibility and usability of AI features for a broader audience.
Description
Bonsai 27B stands as the latest multimodal flagship in the Bonsai lineup, marking the debut of a 27B-class model designed to operate on mobile devices. Built on the foundation of Qwen3.6 27B, it introduces an elevated level of capability for local devices, featuring advanced multi-step reasoning, structured tool interactions, vision tasks, and agentic loops for computer use that maintain coherence throughout multiple steps. The Bonsai 27B is available in two distinct variants. The Ternary Bonsai 27B employs ternary weights combined with FP16 group-wise scaling, achieving an effective weight of 1.71 bits and occupying a 5.9 GB footprint, suitable for high-performance laptop applications. In contrast, the 1-bit Bonsai 27B utilizes binary weights with identical group-wise scaling, resulting in an effective weight of 1.125 bits and a more compact 3.9 GB footprint, making it compatible with the memory constraints of devices like the iPhone 17 Pro. Both models operate seamlessly across the entire language network, including embeddings, attention mechanisms, MLPs, and the language model head, without resorting to higher-precision alternatives. They also feature a compact 4-bit vision tower, enabling on-device workflows to effectively interpret screenshots, documents, and camera inputs, enhancing user interaction and productivity. This innovative approach underscores Bonsai 27B's commitment to pushing the boundaries of mobile AI capabilities.
API Access
Has API
API Access
Has API
Integrations
JavaScript
Microsoft Edge
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
blogs.windows.com/msedgedev/2026/06/02/expanding-on-device-ai-in-microsoft-edge-new-models-and-apis-for-the-web/
Vendor Details
Company Name
PrismML
Founded
2026
Country
United States
Website
prismml.com/news/bonsai-27b