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GLM-5.2 shows strong planning and context handling in real-world AI agent tasks

A user tested GLM-5.2 through the BYOK (Bring Your Own Key) feature on the Neo AI agent, using it for a complex multi-file computer vision implementation. The model demonstrated strong planning capabilities, identifying a potential issue with cross-origin video and designing a proxy solution before coding. GLM-5.2 also maintained consistent JSON contracts and utilized its 1M context window effectively, though it lacks native image input and trails in math and non-English benchmarks. AI

IMPACT Demonstrates the practical application and limitations of large context window models in complex, multi-file AI agent development.

RANK_REASON User testing of an existing model within a specific AI agent framework.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GLM-5.2 shows strong planning and context handling in real-world AI agent tasks

COVERAGE [1]

  1. r/cursor TIER_2 English(EN) · /u/gvij ·

    Tested GLM 5.2 via BYOK on a real multi-file computer vision implementation task, here's what held up

    <table> <tr><td> <a href="https://www.reddit.com/r/cursor/comments/1ujo4gj/tested_glm_52_via_byok_on_a_real_multifile/"> <img alt="Tested GLM 5.2 via BYOK on a real multi-file computer vision implementation task, here's what held up" src="https://preview.redd.it/6hmhc47j0fah1.png…