model
Coding and agent model built on GLM-5.2's base, with gains attributed to extended post-training; available via GLM Coding Plan with weights promised in about two weeks.
No evidence-backed relationships are recorded.
Z.ai says every gain over GLM-5.2 came from post-training on broader production workflows. Whether that transfers to your stack is not something its private benchmark can tell you.
Perspective Coverage
3 publishersReality
Grok 4.6, Gemini 3.7 Flash, DeepSeek V4 Pro and GLM-5.3 all chase agents that stay on task. The pricing underneath them is moving faster than the benchmarks.
Reality
Greg Brockman warns an open-weight release due at the end of August will worsen the threat landscape, while OpenAI's strongest cyber model sits behind identity checks and hardware keys.
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Z.ai says its new open-weight model nears Anthropic and OpenAI on cybersecurity benchmarks. Full download access is two weeks out, which makes patch cadence the variable that matters.
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A viral X post said an inference-time text layer put DeepSeek V4 Pro ahead of Fable 5 on every task. The report it points to shows single runs, nine benchmarks, and two losses.
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Zhipu says cyber capability outran expectations during post-training, so downloadable weights slip to around August 28. Capability gating is now a management call, not a rule.
Perspective Coverage
3 publishersReality
Z.ai claims frontier agentic-coding scores at about 750B parameters, a third of Kimi K3, from extended post-training on the GLM-5.2 base. Open weights are promised in two weeks.
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Z.ai says its new model tops CyberGym and leads open-source models on Terminal Bench 3.0. The weights go to Hugging Face within two weeks, which is the part security teams should read twice.
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Z.ai says GLM-5.3 edges Anthropic's restricted Mythos 5 at vulnerability discovery while losing badly at exploitation. On vendor numbers, the defensive half is commoditising first.
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Z.ai says its 743B-parameter GLM-5.3 hits 34.5% on its own code bench using 22% fewer output tokens than GLM-5.2. The weights are still two weeks out.
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Zhipu says GLM-5.3 edged Anthropic and OpenAI on one security benchmark. On the harder exploitation test the gap runs the other way, by 23.6 points.
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Z.ai's August 14 post claims post-training gains for coding agents, but the company's release notes still stop at GLM-5.1 and there is no API endpoint, model identifier or weight download.
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Z.ai says all of GLM-5.3's coding gains came from post-training on tenfold more long-horizon task environments. The uneven benchmark jumps tell you where that money actually landed.
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