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
Published 2026-09-02 · Updated
Short answer
Quasar 438B is the first large model from Multiverse Computing, a San Sebastián, Spain company. It launched on September 2, 2026 as a 438-billion-parameter reasoning model for agents and coding, in English and Spanish. It scores 43 on the Artificial Analysis Intelligence Index v4.1.1, the top European result, and you reach it through the CompactifAI API. No per-token price was published.
Key takeaways
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 based in San Sebastián, Spain, and offers its models through 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 20 formats: Persona Shorts and HeyGen avatar clips that put the script on camera, brand-exact Carousels 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 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 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.
This five-slide carousel is a real output from the Kompozy workspace. It shows the kind of post a text draft can become once it leaves the model.





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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.
We checked every figure, date, quote and product claim on this page against the sources listed below on 2026-10-23, and removed or rewrote anything we could not confirm. Scores, speed and access details come from Multiverse's own launch post, and the CEO quote and headquarters from its press release. Kompozy plan and format details come from kompozy.io/pricing.
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