GLM-5.2

Zhipu / Z.ai · Jun 2026

Open release plus an agent harness aimed squarely at Anthropic; press benchmarked it against Claude Mythos on vulnerability detection. GLM 5.5 reportedly due Aug 2026.

Sources

Official

Writing & commentary

tk — to collect

Tweets

tk — fleet pass pending; mirror to archive

Official record

tk — release date, specs, benchmarks, checkpoints

History

tk — context of the world at release; events and entanglements

Impressions

tk — day-of and longitudinal vibes to collect

Records

Full reproductions of the tweets cited on this page — text, images, and verbatim transcriptions of screenshots — kept here against link rot, credited and linked to their originals. Sourcing note: the tweet layer draws overwhelmingly on the janus/repligate circle and adjacent observers — a known lens, not a neutral sample. Sourced from the community archive and the janus corpus. Yours and you’d rather it weren’t here? Open an issue.

Further records

Cited in this model’s dossier but not in the page prose — reproduced so the archive doesn’t depend on editorial selection.

@RobertHaisfield 2026-06-17 ♥1,702 ↻237 archive original ↗
Are AI agents shape rotators? In this new benchmark, we let the models play campaign puzzles in Opus Magnum, a puzzle game by @zachtronics. Ironically, Claude Opus 4.8 performed poorly, being beaten by GPT-5.5, Gemini 3.5 Flash, and GLM 5.2. Claude Fable 5 crushed them all. https://t.co/0TzcFp32B6
@TheZvi 2026-06-18 ♥126 ↻3 archive original ↗
I've gotten a claim this is indeed anything, so: GLM-5.2 reaction thread. What's cooking?
@janbamjan 2026-06-20 ♥0 ↻0 archive original ↗
@ollama @mweinbach how many glm 5.2 in/out MToks do you get for $100 ollama max?
@liminal_bardo 2026-06-21 ♥61 ↻8 archive original ↗
A few early GLM 5.2 notebooks. 1/5 https://t.co/u6Li5RKull
photo
@davidad 2026-06-22 ♥51 ↻0 archive original ↗
Fun fact: the GLM-5.2 weights could fit comfortably in one of these 400-disc DVD carousels from the early 2000s. https://t.co/KdwR0XS5ZZ
unknown 2026-06-25 ♥40 ↻4 archive original ↗
Does this answer your question about its positioning @TheZvi ? I told you it's a hardware issue. GLM 5.2 can be served very, very quickly. Databricks won't stop here, neither will their competitors. Chinese models are *much better* than Chinese silicon. https://t.co/KjOSNOdU6a https://t.co/XHyGaifIVS
unknown 2026-06-28 ♥0 ↻0 archive original ↗
@TheZvi Isn't this ostensibly about glm-5.2's successor model rather than 5.2 itself? Thus a more reasonable characterization seems to be highly unlikely rather than obviously false.