GLM-5.2 is probably the most powerful text-only open weights LLM
Similar in size to their previous GLM-5 and GLM-5.1 releases, this is 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.
- ▪Similar in size to their previous GLM-5 and GLM-5.1 releases, this is 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.
Simon Willison files mainly under blogs. We currently carry 54 of its stories.
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| Original publisher | Simon Willison's Weblog |
| Canonical URL | https://simonwillison.net/2026/Jun/17/glm-52/#atom-everything |
| Publication time | 2026-06-17T23:58:39+00:00 |
| Retrieval time | 2026-06-18T00:18:07.994Z |
| Last seen | 2026-06-18T00:18:07.994Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | CrNPOt8kthn9 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
GLM-5.2 is probably the most powerful text-only open weights LLM 17th June 2026 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 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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Simon Willison's Weblog.