Zhipu (Z.AI) Frontier Open weight Available in FlowHunt

GLM-5.3

GLM-5.3 is a Frontier-tier AI model developed by Zhipu (Z.AI) and released in August 2026. As an open-weight model, its trained weights are publicly available, so you can self-host it, fine-tune it on proprietary data, or run it on-premise without API dependencies. The 1M-token context window is large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.

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GLM-5.3 uses the same base model as GLM-5.2, so every gain comes from post-training. Z.ai says it is much better than GLM-5.2 at complex coding and long-horizon tasks, and that its cyber capability developed faster than expected as post-training was scaled, with the largest gains in exploitation tasks. The weights are published under a custom GLM-5.3 licence, and Z.ai lists SGLang, vLLM, Transformers, KTransformers, and Unsloth among the supported ways to run it locally.

Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Frontier peers on the same scale
  • GLM-5.3this model
  • GPT-6.1 Solthis model leads on 0 of 3
  • Claude Opus 5.5this model leads on 0 of 4
Verified independent evaluator, counted in the ranking
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

GLM-5.3 44.8 GPT-6.1 Sol 51.8 Claude Opus 5.5 57.6
#12of 45 Verified
Coding

DeepSWE

113 long-horizon software tasks written from scratch, graded by hidden tests.

Source ↗Also: Self-reported 66.9% (mini-swe-agent harness)

GLM-5.3 69.0% GPT-6.1 Sol No score Claude Opus 5.5 74.2%
#6of 17 Verified

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

Source ↗

GLM-5.3 95.4% GPT-6.1 Sol No score Claude Opus 5.5 No score
#4of 22 Verified
Agents

Terminal-Bench 4.0

Multi-step professional tasks done by an agent in a command-line terminal.

Source ↗

GLM-5.3 41.9% GPT-6.1 Sol 56.1% Claude Opus 5.5 59.6%
#8of 36 Verified

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗

GLM-5.3 42.3% GPT-6.1 Sol 52.9% Claude Opus 5.5 61.4%
#19of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Verified 88.1% (Vals AI own implementation)

GLM-5.3 91.7% GPT-6.1 Sol No score Claude Opus 5.5 No score
#17of 37 Verified

What to Use GLM-5.3 For

Software Engineering

Z.ai positions GLM-5.3 as an open-weight model for complex coding and long-horizon agentic tasks, a strong choice for teams that want a self-hostable coding model.

Security Research

Z.ai reports strong results on vulnerability discovery and exploitation benchmarks, which makes it relevant for defensive security research.

Self-Hosted & Private Deployments

GLM-5.3 is open-weight. Run it on your own GPU hardware or private cloud to keep data in your environment, avoid per-token API costs at scale, or fine-tune it on proprietary datasets.

Long-Document & Codebase Analysis

With a 1M-token context window, GLM-5.3 can take in entire repositories, long contracts, or extensive working histories in a single prompt.

Strengths and limitations

Strengths

  • Complex coding and long-horizon agentic tasks
  • Cyber capability, including vulnerability discovery and exploitation
  • Self-hosted & data-private deployments (open-weight)
  • Adjustable reasoning effort (low, high, or max)
  • Very long documents and large codebases (1M context)

Limitations

  • Custom GLM-5.3 licence rather than a standard open-source licence

Use it in FlowHunt

Use GLM-5.3 in any flow, next to your own tools and knowledge sources.

  1. 1Open a flow, or create one from a template
  2. 2Add an AI Agent or Generator component
  3. 3Pick GLM-5.3 in the model selector

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About Zhipu (Z.AI) Beijing, China · Founded 2019 · z.ai

Zhipu AI, also branded Z.ai, is a Beijing-based AI company founded in 2019 as a spin-out of Tsinghua University research. It develops the GLM family of models.

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