# GLM-5.2：开源权重智能最高但最啰嗦的领先模型

- 来源：Artificial Analysis (@ArtificialAnlys)
- 发布时间：2026-07-01 02:20
- AIHOT 分数：53
- AIHOT 链接：https://aihot.virxact.com/items/cmr0zcvat008csldxv3z4w63k
- 原文链接：https://x.com/ArtificialAnlys/status/2072022576394821859

## AI 摘要

GLM-5.2 在 Artificial Analysis Intelligence Index 中以 51 分成为开源权重智能最高的模型，但输出 token 达 1.41 亿（95% 推理），远超平均模型的 1.8 倍。相比之下，Claude Opus 4.8 输出 1.17 亿 token 得分 56，GPT-5.5 输出 7200 万 token 得分 55。近三分之二 token（8800 万）集中在 Humanity's Last Exam，是 GPT-5.5 的 3.2 倍，得分仅 40%（Opus 46%，GPT-5.5 44%）。AA-Omniscience 幻觉率评测中 GLM-5.2 仅得 4 分，远低于 Opus 4.8（27）、GPT-5.5（20）和 Gemini 3.5 Flash（23）。在 agentic 任务 GDPval-AA v2 上 GLM-5.2 为开源第一、整体第三，超过 GPT-5.5。其他开源模型如 DeepSeek V4 Pro 得分 44，落后 7 分。

## 正文

GLM-5.2 is the most intelligent open weights model available, but also the most verbose among the leading models

GLM-5.2 (max) used ~141M output tokens (95% reasoning) to run the Artificial Analysis Intelligence Index (1.8x the average model).

Key takeaways:

➤ GLM-5.2 generates more tokens (141M) to run the Artificial Analysis Intelligence Index than Claude Opus 4.8 (117M) and nearly double GPT-5.5 (72M), while scoring below both (51 vs 56 and 55)

➤ Almost two-thirds of that goes to a single benchmark, Humanity's Last Exam: ~88M tokens, 3.2x GPT-5.5's, and it still scores lowest of the three (40% vs Opus 46% and GPT-5.5 44%)

➤ The verbosity is not focused on recalling facts. On AA-Omniscience, which measures hallucination rates, GLM-5.2 thinks less than GPT-5.5 yet scores just 4, far below Opus 4.8 (27), GPT-5.5 (20), and Gemini 3.5 Flash (23)

➤ Additional thinking pays off most on agentic real-world work: on GDPval-AA v2 GLM-5.2 is the top open weights model and #3 overall, beating GPT-5.5

➤ Several open models generate even more output, but all score lower on intelligence; the strongest of them, DeepSeek V4 Pro, trails GLM-5.2 by 7 points (44 vs 51)