FUNDING · MODELS · #1818
Microsoft releases Decision-1 decision model based on Qwen3.5-9B
Microsoft announced Decision-1, a decision-oriented model built on Qwen3.5-9B that Microsoft says handles classifications, evaluations and routing decisions. Microsoft claims Decision-1 is the most accurate model in its tests across 36 benchmarks (nearly 150,000 questions) and 2.5× faster than the runner-up H2O-Lightning-4B; the company offers Decision-1 via Microsoft Foundry and OpenRouter with input tokens priced at $0.042 per million and output tokens free, and notes Cloudflare's Clef models were not included in its comparison.
KEY POINTS
- Microsoft announced Decision-1, a decision-oriented model built on Qwen3.5-9B that Microsoft says handles classifications, evaluations and routing decisions.
- Microsoft claims Decision-1 is the most accurate model in its tests across 36 benchmarks (nearly 150,000 questions) and 2.5× faster than the runner-up H2O-Lightning-4B; the company offers Decision-1 via Microsoft Foundry and OpenRouter with input tokens priced at $0.042 per million and output tokens free, and notes Cloudflare's Clef models were not included in its comparison.
- Microsoft entering the decision-model space with a Qwen-based offering and publishedaccuracy/speed claims could accelerate adoption and intensify competition among vendors using small, optimized models.
WHY IT MATTERS
Microsoft entering the decision-model space with a Qwen-based offering and publishedaccuracy/speed claims could accelerate adoption and intensify competition among vendors using small, optimized models.