0G Private Computer Launches GLM-5.2 for Private, Verifiable AI Coding

0G Labs, the blockchain for AI agents, today announced that GLM-5.2, the newly open-sourced large language model from Z.ai, is now live on 0G Private Computer (pc.0g.ai). Developers can run one of the strongest open-weight coding models available on fully private, verifiable infrastructure, without exposing prompts, code, or data to a centralized provider.

GLM-5.2, released by Z.ai (formerly Zhipu AI) under the MIT license, is a Mixture-of-Experts model with roughly 744B total parameters (40B active) and a 1M-token context window. According to Z.ai’s published benchmarks, it is the first open-weight model to break 80% on Terminal-Bench 2.1, trails Anthropic’s Claude Opus 4.8 by about one point on FrontierSWE, and matches or beats GPT-5.5 on several long-horizon coding tasks at a fraction of the cost.

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On 0G Private Computer, every GLM-5.2 inference runs inside 0G’s privacy stack. Prompts and outputs stay encrypted, and computation is verifiable rather than “trust the provider.” That gives developers and enterprises frontier open-model performance with the privacy, transparency, verifiability, and safety of decentralized AI.

“Open weights solved access. They did not solve trust,” said Michael Heinrich, CEO of 0G Labs. “Running GLM-5.2 on 0G Private Computer means your code and prompts never leave a verifiable, private environment. That is the difference between using an open model and actually owning your AI.”

Key capabilities on 0G Private Computer:

• Private inference: prompts, code, and outputs stay encrypted end to end
• Verifiable compute: results are cryptographically checkable, not provider-promised
• Frontier open model: GLM-5.2’s 1M-token context for long-horizon coding and agent workflows
• Onchain settlement: pay-per-use compute credits, no centralized lock-in

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