Microsoft just introduced MAI-Cyber-1-Flash, a compact security-focused model integrated into its MDASH multi-agent harness. By routing 90% of routine security tasks to this smaller in-house model and saving GPT-5.4 for the hardest 10%, the system cuts operational costs in half while hitting a 96% score on the CyberGym vulnerability benchmark.
Microsoft just unveiled its in-house MAI model lineup, rolling out over a dozen task-specific models that slash GPU costs by 50% to 89% across tools like GitHub Copilot and PowerPoint. Its new MAI-Cyber-1-Flash topped the CyberGym benchmark at half the cost of prior options. Why it matters: Big tech is shifting away from running mega-models on everyday tasks, proving specialized smaller models can match frontier quality at a fraction of the budget.
