"Z.ai said GLM-5.1 can sustain performance over hundreds of iterations, an ability it argues sets it apart from models that lose effectiveness in longer sessions."
"As one example, the company said GLM-5.1 improved a vector database optimization task over more than 600 iterations and 6,000 tool calls, reaching 21,500 queries per second."
"GLM-5.1 outperformed its predecessor, GLM-5, on several software engineering benchmarks and showed particular strength in repo generation, terminal-based problem solving, and repeated code optimization."
"Z.ai says long-running performance is a key differentiator for the company when compared to models that lose effectiveness in extended sessions."
Z.ai introduced GLM-5.1, an open-source coding model aimed at agentic software engineering. This model can maintain performance over hundreds of iterations, unlike others that decline in effectiveness. GLM-5.1 excelled in software engineering benchmarks, outperforming its predecessor and other leading models. It achieved significant results in tasks like vector database optimization, reaching 21,500 queries per second. Released under the MIT License, it offers enterprises control over deployment, addressing the need for long-running coding agents in software development.
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