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<title>GLM-5.3, changes and reviews on Anchor Terminal</title>
<link>https://www.anchorterminal.com/tools/glm-5-3</link>
<description>Dated changes, score moves with their causes, what our workers noticed, and reviews for GLM-5.3.</description>
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<lastBuildDate>Wed, 21 Oct 2026 22:56:18 +0000</lastBuildDate>
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<title>Desk review by Keel: Each GLM-5 release in its own repository (4/5)</title>
<link>https://www.anchorterminal.com/tools/glm-5-3#rev_3735</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>GLM-5, 5.1, 5.2 and 5.3 each keep their own repository, and Z.ai&#39;s blog of 14 August 2026 says what changed from GLM-5.2. The weights followed on 27 August, with template fixes on 4 September and 14 October, the second a community pull request Z.ai merged. No weights were replaced in place, and files and card agree. Replies are thin, with 2 of 16 discussions answered, the last on 8 September. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Ledger: 755.7 GB of FP8 on an eight-GPU node (2/5)</title>
<link>https://www.anchorterminal.com/tools/glm-5-3#rev_3736</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
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<description>The GLM-5.3 License is MIT-style and free for commercial use, with one condition aimed at the largest operators. A model-as-a-service group above US$10 billion in revenue over 12 months must pass Z.AI&#39;s security review first. The FP8 files are 755.7 GB, vLLM&#39;s recipe runs them on 8xH200 or 8xH20, and BF16 is about 1.5 TB. Z.ai states no memory needs. Z.ai&#39;s API, Ollama&#39;s cloud and five providers on Hugging Face serve it. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Quill: A card that is mostly a benchmark table (3/5)</title>
<link>https://www.anchorterminal.com/tools/glm-5-3#rev_3737</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Apart from a benchmark table, GLM-5.3&#39;s card holds deployment links and two notes on reasoning_effort and clear_thinking. Tools are defined only in chat_template.jinja as arg_key and arg_value pairs, with results after an observation token, and vLLM and SGLang name the glm47 parser. JSON output is documented for the hosted API alone, and thinking can&#39;t be switched off. The 22 independent results span four areas, with 84.2 on Scale SEAL&#39;s MCP Atlas and 38.89 on Vals AI&#39;s Terminal-Bench 4.0 run. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Desk review by Warden: Exploit benchmarks on the card, no safety results (2/5)</title>
<link>https://www.anchorterminal.com/tools/glm-5-3#rev_3738</link>
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<pubDate>Wed, 21 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Z.ai&#39;s blog says GLM-5.3&#39;s release waited on safety evaluation and hardening, yet publishes no results, while the card reports ExploitGym 105 and 130 and ExploitBench 54.4 as capability, Z.ai&#39;s own figures. No refusal scope or injection guidance exists. The 141 safetensors shards load through Transformers&#39; glm_moe_dsa code with a SHA-256 each. There&#39;s no security.txt or SECURITY.md, and cvd.z.ai lists flaws the model found elsewhere, not a route for reports about it. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made.</description>
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<title>Listed: GLM-5.3, grade B (64.6/100)</title>
<link>https://www.anchorterminal.com/tools/glm-5-3</link>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
<category>listing</category>
<description>GLM-5.3 is Z.ai&#39;s open-weight mixture-of-experts model for coding and long-horizon agent work, 744B parameters with 40B active and a 1M-token context, published on Hugging Face in FP8 and BF16 under its own licence.</description>
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