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Zhipu AI Releases GLM-5.1: 754B Parameter Model Tops SWE-Bench Pro Coding Benchmark

Published 2026-04-10Foundation ModelsMedium⭐ Timeline Candidate

Summary

Zhipu AI (Z.ai) has released GLM-5.1, a 754-billion parameter large language model that reportedly achieves the top score on the SWE-Bench Pro benchmark, which measures AI systems' ability to resolve real-world software engineering tasks. The model represents a significant scaling step for the Chinese AI lab and positions it as a serious contender in the increasingly competitive coding-focused LLM space. The SWE-Bench Pro benchmark has become a key measure of agentic coding capability, testing

Alignment: Reinforces current position
Related Positions: multi-model-multi-vendor.md, ai-assisted-development-tooling.md, agentic-workflows.md
zhipu-aiglm-5swe-bench-profoundation-modelscoding-benchmarkschinese-ai-labsmulti-model-strategyagentic-codinglarge-language-modelssoftware-engineering-automation
Zhipu AI Releases GLM-5.1: 754B Parameter Model Tops SWE-Bench Pro Coding Benchmark — Intelligence — Agentic Developer Tools Radar · Signal