# GLM再添胜绩，开源模型仍有短板

- 来源：Nathan Lambert (@natolambert)
- 发布时间：2026-06-25 03:11
- AIHOT 分数：51
- AIHOT 链接：https://aihot.virxact.com/items/cmqsgjhdm02xhslfu9eofcdry
- 原文链接：https://x.com/natolambert/status/2069860882944057730

## AI 摘要

为GLM再添胜绩。该模型有一些脆弱的特性，在这方面被闭源模型压制，但我们应该预期开源模型更加参差不齐，你可以根据任务使用多个模型。再次祝贺@Zai_org，并期待下一个。

## 正文

Add more wins for GLM.

The model has some brittle characteristics， and is getting crushed by closed models here， but we should expect open models to be more jagged， and you use multiple of them depending on the task.

Congrats again to @Zai_org and am excited for the next one

### 引用推文

> François Chollet：This is the strongest ARC-AGI-2 performance to date by an open-source model.