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Z.ai Launches GLM-5.2: A Cost-Effective, Open-Source LLM Outperforming GPT-5.5 on Coding Benchmarks

Chinese AI startup Z.ai has released GLM-5.2, a powerful open-source large language model with 753 billion parameters, tailored for complex, long-horizon coding and engineering tasks. Available on Hugging Face, Z.ai API, and multiple platforms, GLM-5.2 features a remarkable 1-million-token context window and flexible subscription plans starting at $12.60 monthly. Notably, the model is licensed under the permissive MIT license, allowing enterprises to freely use, customize, and deploy it locally, avoiding vendor lock-in and regulatory restrictions impacting American proprietary AI. Technical innovations like the “IndexShare” mechanism reduce computational demands by nearly threefold, while Multi-Token Prediction enhances inference efficiency. Benchmarks show GLM-5.2 surpasses GPT-5.5 and rivals Claude Opus 4.8 in multiple long-horizon coding evaluations, with significant cost advantages: its API costs about $5.80 per million tokens, a fraction of proprietary competitors. The model supports selectable “Thinking Modes” for balancing performance and latency. Developers and AI toolmakers have embraced GLM-5.2 enthusiastically, praising its performance and open licensing. Z.ai’s competitive pricing and open model strategy position GLM-5.2 as a major disruptor in the AI coding space.

Venturebeat
Venturebeat