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GLM-5.2:可能是最强大的纯文本开源权重大语言模型

2026-06-18 07:58· 48天前
AI 导读

智谱(Z.ai)于6月13日向编码计划订阅者发布GLM-5.2,6月16日以MIT许可证开源完整权重。该模型为753B参数、1.51TB的MoE架构,40个活跃参数,纯文本输入,上下文窗口提升至100万token。在Artificial Analysis Intelligence Index v4.1上以51分领先,超越MiniMax-M3(44)、DeepSeek V4 Pro(max,44)和Kimi K2.6(43)。但每任务输出token消耗达43k,高于同类模型。Code Arena WebDev排行榜位列第二,仅次于Claude Fable 5。通过OpenRouter可获取,多数提供商定价$1.40/百万输入token、$4.40/百万输出token。实测生成SVG动画优秀,但负鼠SVG质量不及GLM-5.1。

Chinese AI lab Z.ai released GLM-5.2 to their coding plan subscribers on June 13th, and then yesterday (June 16th) released the full open weights under an MIT license. Similar in size to their previous GLM-5 and GLM-5.1 releases this is a 753B parameter, 1.51TB monster—with 40 active parameters (Mixture of Experts). GLM-5.2 is a text input only model—Z.ai have a separate vision family most recently represented by GLM-5V-Turbo, but that one isn’t open weights. GLM-5.2 has a 1 million token context window, up from GLM-5.1’s 200,000.

The buzz around this model is strong.

Artificial Analysis, who run one of the most widely respected independent benchmarks: GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index.

GLM-5.2 is the leading open weights model on the Intelligence Index v4.1. At 51, it leads MiniMax-M3 (44), DeepSeek V4 Pro (max, 44) and Kimi K2.6 (43)

They did however find it to be quite token-hungry:

GLM-5.2 uses more output tokens per task than other leading open weights models: the model uses 43k output tokens per Intelligence Index task, up from GLM-5.1 (26k) and above MiniMax-M3 (24k), Kimi K2.6 (35k) and DeepSeek V4 Pro (max, 37k)

The model is also now ranked 2nd on the Code Arena WebDev leaderboard, behind only Claude Fable 5. That leaderboard measures “front-end web development tasks, including agentic coding workflows”. I’m impressed to see it rank so highly given the lack of image input, which I had incorrectly assumed was a key part of building a truly great frontend coding model.

I’ve been trying it out via OpenRouter, which has it from 9 different providers, almost all of which are charging $1.40/million for input and $4.40/million for output. For comparison, GPT-5.5 is $5/$30 and Claude Opus 4.5-4.8 is $5/$25.

Excellent pelican, disappointing opossum

GLM-5.1 gave me one of my favorite pelicans and my all time favorite opossum (for the prompt “Generate an SVG of a NORTH VIRGINIA OPOSSUM ON AN E-SCOOTER”.) Interestingly, in both of those cases the model chose to return SVG wrapped in an HTML document that added additional animations using CSS.

Let’s try GLM-5.2. For “Generate an SVG of a pelican riding a bicycle” I got this:

It’s a self-contained fully animated SVG, and the animations aren’t broken! Often I’ll see eyes falling off or wheels rotating independently of the bicycle but here everything works great. It’s a very nice vector illustration of a pelican too. Very impressive.

Sadly, the NORTH VIRGINIA OPOSSUM ON AN E-SCOOTER did not come out nearly as well:

This is such a step down from GLM-5.1! As a reminder, that possum looked like this:

5.2 didn’t even try to animate it.

17th June 2026

More recent articles

This is GLM-5.2 is probably the most powerful text-only open weights LLM by Simon Willison, posted on 17th June 2026.

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来源:Simon Willison 博客 · simonwillison.net

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GLM-5.2:可能是最强大的纯文本开源权重大语言模型

Simon Willison 博客·2026-06-18 07:58·48天前
AI 导读

智谱(Z.ai)于6月13日向编码计划订阅者发布GLM-5.2,6月16日以MIT许可证开源完整权重。该模型为753B参数、1.51TB的MoE架构,40个活跃参数,纯文本输入,上下文窗口提升至100万token。在Artificial Analysis Intelligence Index v4.1上以51分领先,超越MiniMax-M3(44)、DeepSeek V4 Pro(max,44)和Kimi K2.6(43)。但每任务输出token消耗达43k,高于同类模型。Code Arena WebDev排行榜位列第二,仅次于Claude Fable 5。通过OpenRouter可获取,多数提供商定价$1.40/百万输入token、$4.40/百万输出token。实测生成SVG动画优秀,但负鼠SVG质量不及GLM-5.1。

原文 · 保持原样,未翻译

Chinese AI lab Z.ai released GLM-5.2 to their coding plan subscribers on June 13th, and then yesterday (June 16th) released the full open weights under an MIT license. Similar in size to their previous GLM-5 and GLM-5.1 releases this is a 753B parameter, 1.51TB monster—with 40 active parameters (Mixture of Experts). GLM-5.2 is a text input only model—Z.ai have a separate vision family most recently represented by GLM-5V-Turbo, but that one isn’t open weights. GLM-5.2 has a 1 million token context window, up from GLM-5.1’s 200,000.

The buzz around this model is strong.

Artificial Analysis, who run one of the most widely respected independent benchmarks: GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index.

GLM-5.2 is the leading open weights model on the Intelligence Index v4.1. At 51, it leads MiniMax-M3 (44), DeepSeek V4 Pro (max, 44) and Kimi K2.6 (43)

They did however find it to be quite token-hungry:

GLM-5.2 uses more output tokens per task than other leading open weights models: the model uses 43k output tokens per Intelligence Index task, up from GLM-5.1 (26k) and above MiniMax-M3 (24k), Kimi K2.6 (35k) and DeepSeek V4 Pro (max, 37k)

The model is also now ranked 2nd on the Code Arena WebDev leaderboard, behind only Claude Fable 5. That leaderboard measures “front-end web development tasks, including agentic coding workflows”. I’m impressed to see it rank so highly given the lack of image input, which I had incorrectly assumed was a key part of building a truly great frontend coding model.

I’ve been trying it out via OpenRouter, which has it from 9 different providers, almost all of which are charging $1.40/million for input and $4.40/million for output. For comparison, GPT-5.5 is $5/$30 and Claude Opus 4.5-4.8 is $5/$25.

Excellent pelican, disappointing opossum

GLM-5.1 gave me one of my favorite pelicans and my all time favorite opossum (for the prompt “Generate an SVG of a NORTH VIRGINIA OPOSSUM ON AN E-SCOOTER”.) Interestingly, in both of those cases the model chose to return SVG wrapped in an HTML document that added additional animations using CSS.

Let’s try GLM-5.2. For “Generate an SVG of a pelican riding a bicycle” I got this:

It’s a self-contained fully animated SVG, and the animations aren’t broken! Often I’ll see eyes falling off or wheels rotating independently of the bicycle but here everything works great. It’s a very nice vector illustration of a pelican too. Very impressive.

Sadly, the NORTH VIRGINIA OPOSSUM ON AN E-SCOOTER did not come out nearly as well:

This is such a step down from GLM-5.1! As a reminder, that possum looked like this:

5.2 didn’t even try to animate it.

17th June 2026

More recent articles

This is GLM-5.2 is probably the most powerful text-only open weights LLM by Simon Willison, posted on 17th June 2026.

openrouter

glm

来源:Simon Willison 博客· simonwillison.net

同一事件 · 6