Different software development tasks require varied AI models due to distinct demands in reasoning, context, and cost. GitLab Duo Agent Platform now offers Kimi K3, GLM 5.3, and MiniMax M3, expanding model choice beyond existing frontier models. These open-weight models allow teams to optimize for quality, latency, and cost per workload. Hard tasks benefit from Kimi K3 or GLM 5.3, which offer strong performance and lower costs per call. Routine, high-volume work can be assigned to the more cost-efficient MiniMax M3. This strategy can lead to up to 4x more calls per GitLab Credit compared to some frontier models. The cost of standardizing on a single, expensive model for all tasks is compounded in agent workloads with repeated calls. Open-weight models provide a cost-performance advantage, with Kimi K3, GLM 5.3, and MiniMax M3 offering different call-per-credit rates based on their performance and efficiency. Kimi K3 is excellent for large codebases and long sessions, GLM 5.3 for long-horizon coding with sustained context, and MiniMax M3 for high-volume, multi-step agent work where cost efficiency is paramount. Admins retain centralized control over model usage, setting defaults and curating available models. GitLab ensures model security and compliance through rigorous evaluation and third-party risk management processes.