{"slug": "china-s-z-ai-ships-glm-5-3-calling-it-the-top-open-weight-coding-model", "title": "China's Z.AI Ships GLM-5.3, Calling It the Top Open-Weight Coding Model", "summary": "Chinese AI lab Z.ai released GLM-5.3 on Thursday, a 743-billion-parameter coding model it claims is the most capable open-weights model for coding, scoring 34.5% on its in-house Z.ai Code Bench at Max effort while using roughly 75,000 output tokens per task, up from GLM-5.2's 23.4% at 96,000 tokens. The model is available through the GLM Coding Plan and ZCode, with API access and open weights to follow after safety review, and it leads CyberGym at 84.5%, flagging 2,436 vulnerabilities across 269 open-source projects.", "body_md": "#### In brief\n\n- Zhipu AI (now Z.ai) released GLM-5.3 on Thursday through its GLM Coding Plan and ZCode.\n- The lab calls it the \"most capable open-weights model for coding,\".\n- GLM-5.3 is a 743-billion-parameter model built by scaling post-training on the GLM-5.2 base.\n\nChinese AI lab Z.ai released GLM-5.3 on Thursday, a sizable coding model it's pitching as the strongest open-weights coder on the market. The model is live now through the GLM Coding Plan subscription and ZCode, with API access and downloadable weights following after a safety review.\n\n\"Scaling post-training is all we did for GLM-5.3,\" the company wrote in its [launch post](https://z.ai/blog/glm-5.3). \"With GLM-5.2 we built the stack... Over the past month we kept scaling on this stack: more environments, more diverse tasks, and more compute spent training on them.\"\n\nThe team focused more on token efficiency, not raw dominance. GLM-5.3 stands at 743 billion parameters and consumes a lot less tokens per task than its predecessor. Parameters are the amount of dials a model handle while processing information while tokens are the basic unit of information a model can consume or generate.\n\nZ.ai says GLM-5.3 clears 34.5% on its in-house Z.ai Code Bench at Max effort while burning roughly 75,000 output tokens per task, against GLM-5.2's 23.4% at 96,000. Against closed models, the blog notes it beats Claude Opus 4.8 on token economy but \"remains behind Claude Fable 5, which reaches 39.5% at Max effort.\"\n\nIn terms of coding, GLM5.3 is a very good performer, beating fellow Chinese model Kimi K3 on the most relevant benchmarks.\n\nOn Terminal Bench 3.0—a test of autonomous shell/tool use in real Linux environments—GLM-5.3 scores 28.3, slightly behind closed models Fable 5 (33.7) and GPT-5.6 Sol (34.6). On DeepSWE v1.1, a benchmark for fixing real GitHub issues end-to-end, open rival Kimi K3 (67.5) and Fable 5 (69.7) both beat GLM-5.3's 66.9.\n\nThe pattern can be more or less summed up like this: GLM-5.3 clears its own predecessor and some open peers, but closed U.S. models still lead the headline coding boards.\n\nThe cybersecurity results show another important leap. GLM-5.3 leads CyberGym at 84.5% and more than doubles GLM-5.2 on exploitation benchmarks. Z.ai says the model flagged 2,436 vulnerabilities across 269 open-source projects, 1,097 of them medium-to-high severity.\n\n\"GLM-5.3 takes agentic coding to the next level, delivering a dramatic improvement over GLM-5.2 while achieving better results with fewer output tokens,\" Z.ai posted on X. \"GLM-5.3 is available now through GLM Coding Plan and ZCode. API access and open weights will be released in stages following rigorous safety evaluations.\"\n\nGLM-5.3 takes agentic coding to the next level, delivering a dramatic improvement over GLM-5.2 while achieving better results with fewer output tokens.\n\n[pic.twitter.com/KGc6ZR7GHv]— Z.ai (@Zai_org)\n\n[August 14, 2026]\n\nOn price, the gap with U.S. frontier models is the open-weights draw. Z.ai's GLM [Coding Plan](https://zcode.z.ai/en) runs on a points quota (off-peak calls cost half), with Zhipu's API priced at roughly a tenth of U.S. frontier per-token rates—GLM-5.2's official rate was $1.40 in / $4.40 out per million tokens. That stacks against GPT-5.3-Codex at $1.75 / $14 and Claude Opus 4.8 near the top of Anthropic's tiers.\n\nZ.ai is a Beijing lab included on the [U.S. Entity List](https://decrypt.co/373184/perplexity-fine-tuned-chinese-ai-model-claude-opus-4-8), which means American firms cannot export controlled tech to it. Despite this, GLM is an extremely popular model and Chinese open-weight models already beat American ones on [OpenRouter token usage](https://decrypt.co/372958/china-us-quiet-crackdown-ai-exports).\n\nGLM-5.3 weights are set for public release in about two weeks, per the launch post—the open-weights label applies to what's coming, not what's downloadable today.", "url": "https://wpnews.pro/news/china-s-z-ai-ships-glm-5-3-calling-it-the-top-open-weight-coding-model", "canonical_source": "https://decrypt.co/375684/china-z-ai-glm-5-3-top-open-weight-coding-model", "published_at": "2026-08-14 20:01:13+00:00", "updated_at": "2026-08-16 11:12:09.536476+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "generative-ai", "ai-products", "ai-research"], "entities": ["Z.ai", "Zhipu AI", "GLM-5.3", "GLM-5.2", "GLM Coding Plan", "ZCode", "Claude Opus 4.8", "Claude Fable 5"], "alternates": {"html": "https://wpnews.pro/news/china-s-z-ai-ships-glm-5-3-calling-it-the-top-open-weight-coding-model", "markdown": "https://wpnews.pro/news/china-s-z-ai-ships-glm-5-3-calling-it-the-top-open-weight-coding-model.md", "text": "https://wpnews.pro/news/china-s-z-ai-ships-glm-5-3-calling-it-the-top-open-weight-coding-model.txt", "jsonld": "https://wpnews.pro/news/china-s-z-ai-ships-glm-5-3-calling-it-the-top-open-weight-coding-model.jsonld"}}