Open-weight cybersecurity model fine-tuned from GLM 5.3 and compressed from 1.5 TB to 328 GB; found 23 of 32 vulnerabilities versus 25 for the full model.
Aikido Altar
by Aikido
Open-weight cybersecurity model from Aikido, fine-tuned from GLM 5.3 and compressed to 328 GB.
Updated EU status checked Last shown
Aikido Altar at a glance
- What is Aikido Altar?
- Aikido Altar is a model from Aikido. Open-weight cybersecurity model from Aikido, fine-tuned from GLM 5.3 and compressed to 328 GB.
- Who makes Aikido Altar?
- Aikido Altar is made by Aikido.
- Does Aikido Altar work in the EU?
- Unverified. No explicit evidence found. The model is reportedly open-weight, but the licence was not available to check for EU restrictions. Last verified 14 Nov 2026.
- How much does Aikido Altar cost?
- Pricing unknown.
- Where was Aikido Altar shown?
- In 1 creator video by AI Search. Most recently by AI Search on 27 Sept 2026, at 33:05 in “Waifus incoming, GPT 6 Sol, Grok 4.7, Opus 5.5, Mimo 2.6, Step 5, OpenMuse: AI NEWS”.
Sources: creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
Aikido Altar (also referred to as Aikido Ultra) is a cybersecurity-focused language model from Aikido. According to a creator video summary, it is an open-weight model fine-tuned from GLM 5.3 and compressed from about 1.5 TB to 328 GB.
In the reported vulnerability-detection test, the compressed model found 23 of 32 vulnerabilities, compared with 25 for the full-size model. This suggests most of the detection capability is retained after compression. These figures come from a single secondary source and have not been verified against official documentation.
No official page, model card or licence details were available when this entry was written. Access method, pricing, licence and exact release date are therefore unknown.
- Fine-tuned from GLM 5.3 for cybersecurity tasks
- Reported open weights
- Compressed from about 1.5 TB to 328 GB
- Reported 23 of 32 vulnerabilities found vs 25 for the full model
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