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Model details

GLM 5.3 Flash Cybersecurity

GLM 5.3 Flash Cybersecurity is positioned as a domain-focused variant within the GLM family, attributed to Z.AI/Zhipu, with a clear emphasis on security-oriented use cases such as threat analysis, scripting assistance, and investigative reasoning. The NanoGPT listing describes it as a cybersecurity-focused build derived from an "uncensored" base model, paired with provider-level moderation to restrict illegal applications. That combination signals an intent to support defensive and research workflows where breadth of knowledge is valued alongside guardrails against misuse.

In practical terms, the variant is shaped for long, multi-step tasks: the 1,048,576-token context window lets it ingest large codebases, log dumps, or lengthy reports in one pass, while always-on reasoning is intended to keep multi-stage analysis coherent without prompting. Image understanding extends the use cases to visual artifacts like screenshots of network diagrams or UI captures, and tool calling enables integration with external scripts and security utilities. Because no benchmark or evaluation data is currently available, the model's qualitative strengths are best understood as its capacity for sustained reasoning over very long inputs rather than as any specific score on standard leaderboards.

NanoGPTz-ai/glm-5.3-flash-cybersecurityglm

Quick Info

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Provider
NanoGPT
Model key
z-ai/glm-5.3-flash-cybersecurity
Release date
Sep 19, 2026
Last updated
Sep 19, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.15
Output token cost
$0.50

Limits

Input tokens
1,048,576 tokens
Output tokens
32,768 tokens
Context window
1,048,576 tokens

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