Aikido Security releases Altar-1: a 328 GB security model from GLM-5.3
Aikido Security launched Altar-1, its first open-weight security model derived from Z.AI’s GLM-5.3. The model compresses GLM-5.3’s 753B-parameter mixture-of-experts architecture to 328 GB by pruning 34.4% of experts and quantizing weights to 4 bits. It retains 168 of 256 routed experts per layer, with 8 active per token, and runs on a single node of 4x NVIDIA H200 GPUs using vLLM.
Key points
- Aikido Security pruned GLM-5.3 to 328 GB, a 78.2% reduction from its parent model’s size
- Altar-1 runs on 4x NVIDIA H200 GPUs with vLLM, supporting air-gapped networks
- Recall drops from 65.6% to 60.4% while maintaining 92% of GLM-5.3’s CVE coverage
Altar-1 powers Aikido Machine, an autonomous pentesting tool for on-prem and air-gapped networks. Aikido claims it achieves 92% of GLM-5.3’s CVE coverage with a 1-point recall drop, based on an internal benchmark of 32 known vulnerabilities. The model also found a critical-severity vulnerability during a client’s production pentest. Deployment requires Hopper GPUs, and the GLM-5.3 license permits commercial use with a review clause for operators exceeding $10B in annual revenue.
Model page: Altar-1 →
Aikido Security Releases Altar-1: An Open-Weight Security Model Pruned From GLM-5.3 to 328 GB
MarkTechPost · 25 September 2026
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