Dynamic Watch Beating AI News: Shortly after the Spanish AI company Multiverse Computing promoted Quasar 438B as "Europe's strongest AI model," the community uncovered its connection to Zhipu's GLM-5.2. The Artificial Analysis page now directly labels the model as "Quasar 438B (max, based on GLM-5.2)," explicitly stating it is based on GLM-5.2. Multiverse’s own old documentation also contained clues: on August 5, when Quasar 438B launched in beta, the CompactifAI changelog stated its capabilities were "identical" to those of GLM-5.2. The community thus questions whether Quasar is merely a compressed or modified version of GLM-5.2 repackaged under a new name. Multiverse has not disclosed its architecture, training methodology, or clarified the exact relationship between the two models. Although Multiverse’s core business is model compression, its own FAQ still lists Quasar under "Original Models," not "Compressed Models." GLM-5.2 has approximately 753B total parameters with 40B activated during inference and an Artificial Analysis Intelligence Score of 53 on the max setting; Quasar, reduced to 438B parameters, scores only 43, but achieves an output speed of approximately 174 tokens per second—significantly faster than GLM-5.2’s ~68 tokens per second.
Spanish AI firm Quasar 438B found to be based on Zhipu GLM-5.2
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The Spanish AI firm Multiverse Computing recently claimed Quasar 438B as the "strongest AI model in Europe," but on-chain analysis reveals its close ties to Zhipu’s GLM-5.2. Artificial Analysis labeled it as "Quasar 438B (max, based on GLM-5.2)," citing on-chain data from CompactifAI’s changelog. The model’s performance and architecture suggest it may be a modified version of GLM-5.2. Multiverse has not clarified the relationship or training methods. Quasar, with 438 billion parameters, scores 43 on AI benchmarks and processes 174 tokens per second—faster than GLM-5.2’s 68 tokens per second.
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