GLM-5.3

GLM-5.3 retains the GLM-5.2 base model, with its reported improvements coming from scaling post-training across more environments, varied tasks, and additional compute. The training stack combines IndexShare for efficient long-context processing, SAO reinforcement learning for long-horizon tasks, and the slime framework for large-scale asynchronous training, making the model particularly relevant to extended coding and agent workflows.

The model is designed for complex coding and long-horizon work, with reported gains over its predecessor on the in-house Code Bench and public Terminal-Bench 3.0 and Agents’ Last Exam evaluations. Its cyber-related results are also notable, including a reported state-of-the-art position on CyberGym for vulnerability discovery and more than twice the predecessor’s performance on later exploitation-chain benchmarks. These are source-reported claims, so the strongest fit is for teams prioritizing sustained software-engineering, agentic, or security-oriented tasks and evaluating results on their own workloads.

SCNet Token PlanGLM-5.3glm

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Quick Info

Provider: SCNet Token Plan
Model key: GLM-5.3
Release date: Aug 14, 2026
Last updated: Aug 14, 2026
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens: 131,072 tokens
Context window: 1,000,000 tokens

Latest news about GLM-5.3

SCNet Token Plan

CoveragePreview

The Interconnects newsletter (September 8, 2026) documents that GLM-5.3 switched from the MIT license used by GLM-5.2 and earlier to a custom Z.AI license, marking a notable shift toward more restrictive terms among Chinese frontier model makers in 2026. The new license contains a clause stating that if the licensee or The newsletter highlights adoption-barrier concerns, noting that while the $10 billion revenue threshold is high compared to similar licenses, "affiliates" is not defined in the English text, creating uncertainty. The license is provided in both English and Chinese, with the Chinese text using "关联方" for affiliated p

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Coverage

BetaNews reports that Z.ai announced GLM 5.3 on August 14, 2026, as an open-weight model built for advanced coding and cybersecurity work, using the same base architecture as GLM 5.2 with all capability gains attributed to expanded post-training. The article notes the launch of OpenVuln ("VulnHunter"), a scanning servi Z.ai's disclosure ledger credits GLM 5.3 with 2,436 vulnerability findings across 269 open-source projects, including 1,097 rated critical or high severity, with several flaws reportedly surfaced in the Linux kernel and widely used VMware and Apache projects. A Z.ai developer advocate also posted on X that the model fl

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CoverageBenchmark

InferenceX provides a technical deep-dive on the GLM-5.2 / GLM-5.3 family, confirming that GLM-5.3 was announced on August 14, 2026 as a post-training-only release reusing the GLM-5.2 base, with Z.ai framing it as "Frontier Coding with Emergent Cyber Capabilities." The piece documents a claimed 50% coding gain over GLM On specifications, InferenceX confirms GLM-5.3 is text-only, always-reasoning, with a 1M-token context, 128K max output, and three effort levels (low, high, max, default max), and notes that disabling thinking is no longer supported. It also documents a licensing divergence between the two versions: GLM-5.2 ships as MI

SCNet Token Plan

CoverageBenchmark

Z.ai released GLM-5.3 on 14 August 2026 with the tagline "Built to Code. Ready for Cyber Defense," and the launch is documented in a Qubrid AI launch-partner technical brief. Per the post, GLM-5.3 does not introduce a new base model or architecture; Z.ai reports that every capability gain came from scaled post-training The same Qubrid brief describes GLM-5.3's API surface as exposing three reasoning levels — low, high, and max — with max as the default, and notes that thinking behavior is constrained (the excerpt cuts off mid-sentence at "Thinking canno…", so the full constraint description cannot be verified from the supplied text).