At Multiverse Computing, we have integrated CompactifAI API with the leading coding agents on the market. Developers and engineering teams can now select CompactifAI API as the backend of their coding agent and run GLM 5.1 underneath, without changing their IDE, prompts or workflow.
The benefit is direct. In internal evaluations, running a coding agent on CompactifAI API comes out up to 75% cheaper per token than the comparable setup with leading frontier models. For individual developers, this means more iteration headroom on a fixed budget. For engineering teams, it means a coding-agent stack whose cost scales sustainably with adoption.
The product principle behind the integration is simple. Developers should not have to give up the tools they prefer to reduce their token bill. CompactifAI API slots in as the backend of the coding agent the team is already using, preserving the IDE experience, prompt patterns and skills. The only thing that changes is what runs underneath.
Quality holds: external validation by Artificial Analysis
The cost advantage does not come at the expense of quality. Per Artificial Analysis, GLM 5.1 on CompactifAi API scores 6% higher than Sonnet 4.6 on the Agentic Index, the metric that captures how a model performs inside an agent harness on multi-step, tool-using tasks. The two models come out practically tied on the Intelligence Index v4. On the dimensions that matter most for agentic coding, the alternative backend is comparable or better.
Available now
CompactifAI API is available today as a backend for the leading coding agents on the market, including Cursor and OpenCode. GLM 5.1 stands out as highlighted model for coding-agent workloads, but the any user can review the full CompactifAI model catalogue for other use cases.
Sign-up is open through the CompactifAI Sign Up form, with review by our team and access granted shortly.