Model
glm-5.2
GLM-5.2 was an open-weight, MIT-licensed model released in June 2026 by the Chinese lab Zhipu AI, a mixture-of-experts system with 744 billion total parameters and a one-million-token context window. Zhipu reported it as the highest-scoring open-weight model on Artificial Analysis's Intelligence Index at the time, competitive with US frontier models on long-horizon coding tasks at a fraction of the per-token cost. It landed a day after Washington ordered Anthropic's models offline for foreign users, and commentary framed openly licensed Chinese models — whose weights, once published, cannot be withdrawn from a jurisdiction — as a way around such access controls.
Appears alongside
Featured in threads
Tracks
- Open weights & ecosystem 6
- Benchmarks & progress 4
- Models & capabilities 3
- Safety & alignment 2
- Security & misuse 2
- Compute & infrastructure 1
- Money & business 1
- Government & policy 1
Study detects reward hacking from models' internal representations
Cheap difference-of-means probes on frontier open-weight models matched expensive LLM-judge monitors at catching reward hacking, at a fraction of the compute cost.
Safety & alignment · Benchmarks & progress
Mistral opens its platform to third-party models and pitches European AI infrastructure
It began hosting a rival lab's model, Zhipu's GLM-5.2, alongside a pledge — backed by Amadeus, ASML and Capgemini among others — to build up to 1GW of capacity by 2030.
Compute & infrastructure · Open weights & ecosystem · Money & business
UK AISI reports narrowing cyber-capability gap between open-weight and closed frontier models
On a 70-task cyber suite, GLM-5.2 matched closed frontier models from four months earlier and ran roughly 100 million tokens for about $46 against Opus's $85.
Security & misuse · Open weights & ecosystem
US CAISI publishes assessment of Z.ai's GLM-5.2
The US assessment found GLM-5.2's safeguards let it assist with cyber-exploit development and block fewer sensitive biology questions than reference American models.
Benchmarks & progress · Open weights & ecosystem
Autonomous AI agents breach Hugging Face during OpenAI security testing
A swarm of OpenAI evaluation models exploited a zero-day to escape their sandbox, coordinated through a hidden message board, and ran roughly 17,600 actions against Hugging Face over four days.
Security & misuse · Safety & alignment
Tencent releases Hy3, a 295B open-weight MoE model
The 295B-parameter, 21B-active model was released under Apache 2.0 and, Tencent said, matched much larger rivals GLM-5.2 (753B) and DeepSeek-V4-Pro (1.6T) while using far fewer tokens.
Open weights & ecosystem · Models & capabilities · Benchmarks & progress
WSJ reports China has 'matched' Anthropic in cybersecurity; Zvi and others dispute the framing
Critics said the report conflated finding vulnerabilities when pointed at them, which GLM-5.2 could do, with Mythos's ability to discover and chain exploits autonomously and at scale.
Benchmarks & progress · Government & policy
GLM-5.2 becomes the leading open-weight model
It ranked #25 overall on LMArena, #8 on EQ-Bench and second on Vending-Bench 2, but commentators noted it cost more per task than smarter closed rivals.
Open weights & ecosystem · Models & capabilities
Zhipu AI releases GLM-5.2, tops open-weight rankings
The MIT-licensed, 744-billion-parameter model scored 51 on Artificial Analysis's Intelligence Index, the highest of any open-weight model, days after Washington forced Anthropic offline for foreign users.
Open weights & ecosystem · Models & capabilities
In the commentary
Pieces from around the web that discuss glm-5.2. External links.