GLM-5.3

GLM-5.3 is positioned as Z.ai's open-weights frontier coding model, developed by Z.ai as part of the GLM family. It uses the same base model as GLM-5.2, with every reported improvement coming from post-training rather than changes to the underlying foundation. The post-training stack draws on IndexShare for long-context processing, SAO for reinforcement learning on long-horizon tasks, and slime for large-scale asynchronous training, all run on accumulated long-horizon task environments that the team scaled further with more environments, more diverse tasks, and more compute.

Compared with its predecessor, GLM-5.3 is aimed at complex coding and long-horizon agentic workloads, claiming a 50% improvement over GLM-5.2 on Z.ai's in-house Code Bench alongside open-source state-of-the-art results on Terminal Bench 3.0 and Agents' Last Exam. As post-training was scaled, cyber capability emerged faster than expected, with GLM-5.3 reaching state-of-the-art performance on CyberGym for vulnerability discovery and showing its largest gains further up the exploitation chain. Practically, it suits developers and agent builders who need a self-hostable, open-weights model that prioritizes deep coding, sustained tool use, and security-relevant reasoning over breadth of modalities.

Alibaba Token Plan (China)glm-5.3glm

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Quick Info

Provider: Alibaba Token Plan (China)
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

Alibaba Token Plan (China)

CoveragePreview

GLM-5.3 introduced a material licensing shift away from the MIT license used by GLM-5.2 and earlier GLM-5 releases, moving to a custom license that imposes conditions on Model-as-a-Service operators. Per the Interconnects coverage, the custom license requires that if a licensee or any of its affiliates operates a MaaS This licensing change is part of a broader 2026 pattern in which Western open-model makers (Google, Meta) are moving toward more permissive Apache 2.0, while Chinese frontier model makers, including Moonshot's Kimi K3 and now Zhipu's GLM-5.3, are becoming more restrictive, with revenue thresholds and prohibited use cas

Alibaba Token Plan (China)

Coverage

Zhipu AI released GLM-5.3 on August 14, 2026, with open weights expected roughly two weeks later (around August 28, 2026) on the huggingface.co/zai-org repository, following Zhipu's most extensive pre-release risk review to date. The Apidog guide confirms the Terminal-Bench 3.0 jump from 4.6 (GLM-5.2) to 28.3 (GLM-5.3) For serving GLM-5.3 self-hosted, vLLM and SGLang are identified as the realistic day-one stacks, both exposing OpenAI-compatible endpoints so client code written against Z.ai's hosted API can switch over with a base URL change. Based on prior GLM-5 release patterns, paired BF16 and FP8 repositories are expected on day

Alibaba Token Plan (China)

Coverage

Zhipu (also known as Z.ai) unveiled its flagship GLM-5.3 model on August 14, 2026, framing the release as a step toward "Mythos-level" cyber-defence capability for China against Western AI advances. The SCMP report states that Zhipu claims GLM-5.3 outperformed leading US systems in cybersecurity tests, beating Anthropi Independent confirmation of the August 14, 2026 launch date and the explicit naming of GLM-5.3 as Zhipu's flagship model anchors this candidate as a credible, if thin, press reference for the release event. The CyberGym benchmark framing positions GLM-5.3 as a security-oriented frontier release, consistent with Z.ai's

Alibaba Token Plan (China)

CoverageBenchmark

Z.ai (Zhipu AI) released GLM-5.3 on August 14, 2026 as a post-training-only update to the GLM-5.2 base model, with every gain attributable to post-training rather than architecture changes. The InferenceX page documents that GLM-5.3 is text-only, always reasoning, with a 1M-token context, 128K max output, and three thi GLM-5.3 differs materially from its predecessor GLM-5.2 in licensing posture: while GLM-5.2 shipped on June 16, 2026 with MIT-licensed open weights on Hugging Face and ModelScope, GLM-5.3 has moved to a custom license (a material change for downstream self-hosting, fine-tuning, and MaaS deployment). The GLM-5 family ar