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Quasar 438B: Europe's Leading AI Model
Quasar 438B is our flagship reasoning model, built for enterprise-scale agents and coding. It is the first large model Multiverse Computing has released, it runs in English and Spanish, and it scores 43 on the Artificial Analysis Intelligence Index, the highest result of any European model in the field.
The Intelligence Index v4.1.1 combines nine evaluations: GDPval-AA v2, τ³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience and AA-LCR. Quasar's 43 puts it ahead of Mistral Medium 3.5 at 30, NVIDIA Nemotron 3 Ultra at 38 and Inkling at 42, in a field led by Claude Opus 5 at 63.
Quasar is not only intelligent, it is also fast. It returns 500 tokens, thinking time included, in 15.3 seconds. Only three models in the comparison are faster, and only one of those, Gemini 3.7 Flash, scores higher on the index. Of the models that do outscore Quasar, only two answer in under 25 seconds. The rest take between 38 and 156.
Multiverse Computing has built its position on making AI more efficient and deployable. Quasar brings that work into the 400B-plus parameter class: a reasoning model for multi-step tasks that need planning, tool use, code execution and large context, without the latency that class normally carries.
The model is available through the CompactifAI API, so teams can test it without standing up infrastructure.
Figure 1. Artificial Analysis Intelligence Index v4.1.1, a composite of nine evaluations. Higher is better.
Quasar scores 43 on the composite index. That is 13 points ahead of Mistral Medium 3.5 and 5 ahead of Nemotron 3 Ultra, which carries 112 billion more parameters.
Figure 2. End-to-end response time: seconds to output 500 tokens, including reasoning time. Lower is better.
Quasar completes a 500-token response in 15.3 seconds. The three faster models in the comparison are Nemotron 3.5 Lightning at 9.4s, which scores 24 on the index, Gemini 3.5 Flash-Lite at 10.8s, which scores 37, and Gemini 3.7 Flash at 11.5s, which scores 56. Only the last of those is both faster and more capable.
Read it the other way and the gap is wider. Quasar scores 43 and takes 15.3 seconds. Mistral Medium 3.5 scores 30 and takes 18.8 seconds. Nemotron 3 Ultra scores 36 and takes 25.7 seconds, Inkling scores 42 and needs 48.3 secods, more than double than Quasar 438B.