The San Sebastián company's first large model is a 438-billion-parameter reasoning model built for agents and coding, running in English and Spanish — pitched as European sovereign AI that competes on capability and speed.
2026-09-02 · by Moe Ameen
Multiverse Computing released Quasar 438B on September 2, 2026 — its first large model and, according to independent evaluator Artificial Analysis, the highest-scoring European model on the Intelligence Index. Multiverse is a San Sebastián, Spain company best known for its work compressing large AI models via its CompactifAI platform; Quasar is a 438-billion-parameter reasoning model aimed at enterprise-scale agents, coding, and multi-step reasoning, and it operates in English and Spanish.
The headline number is a score of 43 on the Artificial Analysis Intelligence Index v4.1.1. That places it ahead of other European entries and models like Mistral Medium 3.5 (30) and NVIDIA Nemotron 3 Ultra (38), while still trailing frontier US models such as Claude Opus 5 (63). Multiverse pairs the score with speed: the model returns 500 output tokens in about 15.3 seconds, and posts 69.3 on Terminal-Bench v2.1 (agentic terminal work) and 75.0 on AA-LCR (long-context reasoning). CEO Enrique Lizaso framed the launch around not forcing European developers to choose between reasoning performance and speed.
The positioning is European sovereign AI — a domestically built model that enterprises in Europe can adopt without depending on US or Chinese providers. Quasar is available for testing through Multiverse's CompactifAI API, with sign-up at dashboard.compactif.ai, and the company points organizations to business@multiversecomputing.com. Multiverse did not publish per-token pricing at launch. Treat the exact scores, languages, and availability as launch-day details and confirm them on Multiverse's own materials.
You cannot publish a leaderboard score. What actually shipped on September 2 is a strong, fast, bilingual text model — a better drafting engine, not a content operation. The gap between "Quasar wrote me good English and Spanish copy" and "that copy is live as a captioned video, a branded carousel, a blog, and a newsletter across all my platforms" is exactly the gap [Kompozy](/) closes.
Here is the move a creator makes with this news today. Draft your angle in Quasar — a script, a thread, a long-form outline in either English or Spanish — then bring that text into Kompozy, where one idea fans into 18 formats: [Persona Shorts](/glossary/persona-shorts) and HeyGen avatar clips that put the script on camera, brand-exact [Carousels](/glossary/hyperframes) through HyperFrames, quote graphics, a blog article, and a matching newsletter. Because Quasar is bilingual, this is where sovereignty gets practical: run one [Persona Brief](/glossary/persona-brief) for your English audience and a second for your Spanish one, and Kompozy keeps each batch reading as one consistent creator rather than a translation. Then [Autopilot](/glossary/autopilot) schedules and publishes the whole set across the eight social platforms plus blog and email behind a per-post review. Quasar is the drafting brain; Kompozy is the studio and the distribution that a model, by itself, will never be.
Quasar 438B is Multiverse Computing's first large model, launched September 2, 2026. It is a 438-billion-parameter reasoning model built for enterprise-scale agents, coding, and multi-step reasoning, operating in English and Spanish, and delivered through the CompactifAI API. Artificial Analysis rated it the highest-scoring European model on its Intelligence Index.
On the Artificial Analysis Intelligence Index v4.1.1 it scores 43 — the top European result, ahead of Mistral Medium 3.5 (30) and NVIDIA Nemotron 3 Ultra (38), but behind frontier US models such as Claude Opus 5 (63). It also posts 69.3 on Terminal-Bench v2.1 and 75.0 on AA-LCR, and returns 500 tokens in about 15.3 seconds, which is fast for its size.
It can draft text in English and Spanish, but it is an API-only reasoning model with no image or video generation and no publishing. To turn Quasar drafts into finished posts — captioned video, carousels, blogs, newsletters — and schedule them across platforms, you pair it with a content engine like Kompozy that handles the formats and distribution.
Quasar is available for testing through Multiverse Computing's CompactifAI API, with sign-up at dashboard.compactif.ai, and organizations can contact business@multiversecomputing.com. Multiverse did not publish per-token pricing at launch, so confirm current access and cost on its official pages.