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Microsoft skipped OpenAI’s decision model and built its own on Alibaba’s Qwen
TL;DR
Microsoft launched its own decision model, Decision-1, built on Alibaba's Qwen3.5-9B, bypassing OpenAI's offerings. This model is designed for internal use and aims to enhance decision-making across Microsoft products.
✦ Why It Matters
Evaluate how Decision-1 can enhance your internal applications and workflows today.
Key Takeaways
- Explore integrating Decision-1 into your Microsoft applications.
- Monitor pricing trends in decision models for cost-effective solutions.
- Assess the limitations of Decision-1 regarding image processing.
- Validate the model's predictions with your own data for reliability.
How It Works
Decision-1 utilizes a post-training approach on Alibaba's Qwen3.5-9B, allowing Microsoft to customize the model for specific decision-making tasks. It processes up to 32,768 tokens of text and outputs JSON, making it suitable for various applications within Microsoft's ecosystem.
⚠ The Catch
Decision-1 currently lacks support for image inputs, which limits its functionality compared to competitors like OpenAI's Decisions API.