GLM-5.1 on DeepInfra: Z.AI’s Agentic Engineering Model

DeepInfra has announced the release of Z.AI's GLM-5.1, an agentic engineering model designed for long-horizon coding tasks, terminal operations, and repository-level work, which surpasses its predecessor GLM-5, as well as competitors like Claude Opus 4.6 and GPT-5.4 in key benchmarks such as SWE-Bench Pro and CyberGym. The model's architecture allows it to sustain performance improvements across numerous rounds and tool calls by iteratively revising strategies, making it particularly suited for complex engineering tasks that involve iterative, multi-step problem-solving. It features a 202,752-token context window and supports JSON and function calls, offering deployment flexibility through an MIT license and competitive pricing. GLM-5.1 is available via DeepInfra's platform with an OpenAI-compatible API, making it accessible for developers aiming to automate engineering applications like autonomous PR triage and repo-scale refactoring tools.