From the source
Like the ones from OpenAI , Cloudflare , and the "original" from Jev , Decision-1 is built for fast, structured decisions.
According to Microsoft , it handles classifications, evaluations, and routing decisions and has "the potential" to "guide and control agents through complex environments."
Decision-1 is based on Qwen3.5-9B.
Microsoft says it's the most accurate model tested across 36 benchmarks covering nearly 150,000 questions.
On speed, it's 2.5 times faster than the runner-up, H2O-Lightning-4B.
Cloudflare's open-source Clef models, which are also based on Qwen, weren't included in the comparison.
Decision-1 is available through Microsoft Foundry and OpenRouter .
Input tokens cost $0.042 per million, and output tokens are free.
Jev, the startup that kicked off the decision model trend in mid-September, has likely had a rough few weeks.
The idea caught on fast, but the tech was quickly adapted and surpassed using open small language models.
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