0G Private Computers Announces GLM-5.2 for Private and Verifiable AI Coding

0G Labs, the blockchain for AI agents, today announced that GLM-5.2, Z.ai’s newly open-sourced large-scale language model, is now running on the 0G Private Computer (pc.0g.ai). Developers can run one of the most powerful open-weight coding models available on a completely private and 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 an expert mixture model with approximately 744B total parameters (40B active) and a context window of 1M tokens. According to benchmarks published by Z.ai, it is the first open-weight model to break 80% on Terminal-Bench 2.1, beats Anthropic’s Claude Opus 4.8 by about a point on FrontierSWE, and matches or beats GPT-5.5 on some long-term coding tasks at a fraction of the cost.

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On 0G private computers, all GLM-5.2 inference is performed within the 0G privacy stack. Prompts and output remain encrypted and calculations are verifiable rather than “trust the provider”. This enables developers and enterprises to achieve cutting-edge open model performance with the privacy, transparency, verifiability, and security of decentralized AI.

“Openweight solved access. It didn’t solve trust,” said Michael Heinrich, CEO of 0G Labs. “Running GLM-5.2 on a 0G private computer means your code and prompts never leave a verifiable private environment. That’s the difference between having an open model and actually owning the AI.”

Main features of 0G Private Computer:

• Private inference: prompts, code, and output remain end-to-end encrypted
• Verifiable computing: Results are not promised by the provider and are cryptographically checkable.
• Frontier Open Model: 1M Token Context in GLM-5.2 for Long Horizon Coding and Agent Workflows
• On-chain payments: pay-as-you-go compute credits, no central lock-in

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