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GLM-5.2 is the new leading open weights model on Artificial Analysis

1 report

1 website

1 discussion

Latest report

Overview

GLM-5.2 has become the leading open weights model on the Artificial Analysis Intelligence Index, scoring 51. It matches the size of GLM-5.1 with 744 billion total parameters and 40 billion active parameters, but surpasses it by 11 points in the Intelligence Index v4.1.

Summary from artificialanalysis.ai.

Reports

One report so far. Additional coverage will appear here when it is linked to this story.

  1. artificialanalysis.ai

    GLM-5.2 is the new leading open weights model on Artificial Analysis

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Community reactions

Each reaction summarizes sampled comments from the linked discussion.

Hacker News · artificialanalysis.ai

GLM-5.2 is the new leading open weights model on Artificial Analysis ↗
Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Read this discussion’s reaction

Based on 5 sampled comments from this thread. Analyzed 2026-06-17.

  • Praise: GLM-5.2 offers Opus 4.7 quality at significantly lower prices, making advanced AI more accessible and competitive against major providers like OpenAI and Anthropic.
  • Praise: The model's performance is close to frontier models, indicating a substantial leap in capabilities that could benefit a wide range of applications.
  • Praise: GLM-5.2 Max shows similar reasoning behavior to Opus 4.8, suggesting that users can achieve high-quality outputs while reducing token usage by 2 to 2.5 times.
  • Praise: The cost per task for GLM-5.2 is competitive, positioning it favorably on the intelligence vs. cost per task frontier, which could encourage broader adoption.
  • Concern: Concerns about unofficial providers misconfiguring models or using stealth quantization could undermine trust in the accessibility of GLM-5.2.
  • Concern: The model's reasoning efficiency is criticized, as it can take excessive time and tokens to produce outputs, which may hinder practical usability.
  • Concern: While GLM-5.2 is capable, it is noted to be verbose and not as effective as GPT-5.5 in handling complex abstract requirements, highlighting areas for improvement.