Open Models have crossed a threshold

Open models like GLM-5 and MiniMax M2.7 are proving to be effective alternatives to closed frontier models in performing core agent tasks such as file operations, tool use, and instruction following, offering similar performance at significantly reduced costs and latency. Evaluations demonstrate that these open models can effectively be deployed in production environments, providing consistent and predictable performance that supports real-world workflows. Despite being smaller than their closed counterparts, open models benefit from specialized infrastructure that optimizes latency and throughput, making them a cost-effective choice for latency-sensitive applications. Evaluation methods assess correctness, solve rate, step ratio, and tool call ratio, highlighting that open models achieve competitive results with efficiency. Additionally, Deep Agents supports easy integration and comparison of open models, simplifying the process of adapting these models into existing systems and allowing for dynamic model switching to balance planning and execution tasks.