0G Labs, the blockchain for AI brokers, at present introduced that GLM-5.2, the newly open-sourced massive language mannequin from Z.ai, is now stay on 0G Non-public Laptop (laptop.0g.ai). Builders can run one of many strongest open-weight coding fashions out there on totally non-public, verifiable infrastructure, with out exposing prompts, code, or knowledge to a centralized supplier.
GLM-5.2, launched by Z.ai (previously Zhipu AI) below the MIT license, is a Combination-of-Consultants mannequin with roughly 744B whole parameters (40B lively) and a 1M-token context window. In response to Z.ai’s revealed benchmarks, it’s the first open-weight mannequin to interrupt 80% on Terminal-Bench 2.1, trails Anthropic’s Claude Opus 4.8 by about one level on FrontierSWE, and matches or beats GPT-5.5 on a number of long-horizon coding duties at a fraction of the associated fee.
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On 0G Non-public Laptop, each GLM-5.2 inference runs inside 0G’s privateness stack. Prompts and outputs keep encrypted, and computation is verifiable slightly than “belief the supplier.” That provides builders and enterprises frontier open-model efficiency with the privateness, transparency, verifiability, and security of decentralized AI.
“Open weights solved entry. They didn’t remedy belief,” mentioned Michael Heinrich, CEO of 0G Labs. “Operating GLM-5.2 on 0G Non-public Laptop means your code and prompts by no means go away a verifiable, non-public setting. That’s the distinction between utilizing an open mannequin and really proudly owning your AI.”
Key capabilities on 0G Non-public Laptop:
- Non-public inference: prompts, code, and outputs keep encrypted finish to finish
- Verifiable compute: outcomes are cryptographically checkable, not provider-promised
- Frontier open mannequin: GLM-5.2’s 1M-token context for long-horizon coding and agent workflows
- Onchain settlement: pay-per-use compute credit, no centralized lock-in
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