Keep a long task moving.
Use GLM 5.2 in Offloop for text-based coding and extended tool workflows.
A brief to try · Example
Navigate a large codebase
Map the modules involved in this feature. Identify extension points and propose an implementation consistent with the existing architecture.
Choose in your agent settings: GLM 5.2
Where GLM 5.2 fits
Our pick to trial on long-context repository work with explicit milestones and checkpoints.
01
Navigate a large codebase
The model release emphasizes long-context engineering.
02
Work through terminal tasks
Terminal-Bench results support trying it on bounded command-driven work.
03
Coordinate tool-backed research
MCP-Atlas results support evaluating multi-step tool use.
Our editorial assessment · GLM 5.2 is a text model in Offloop. A provider’s 1M context specification is not a promise that every run receives that entire budget.
Read the capability source ↗Watch a real evaluation
An independent hands-on evaluation of GLM-5.2. Use the actual outputs and revisions to judge fit for your own coding tasks.
Bijan Bowen · Independent creator · External setup, not Offloop
Published evaluations
Selected results for GLM 5.2. Source checked November 5, 2026; these are not Offloop measurements.
SWE-bench Pro
62.1%
Z.ai model-card result; repository issue resolution.
Terminal-Bench 2.1
81.0%
Terminus-2 harness. The separately reported best-harness score is not used here.
MCP-Atlas · public set
76.8%
Z.ai model-card tool-use evaluation.
Different task sets, model snapshots and harnesses are not directly comparable. Scores are evidence for a trial, not a guarantee of your result.
Before you start
Give your agent a real task.
Choose GLM 5.2, connect the tools you need, and define what a useful result looks like.