// AI NEWS · MODEL RELEASE

Multiverse Computing Launches Quasar 438B, Europe's Highest-Scoring Model on the Artificial Analysis Intelligence Index

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. It is the company's first large model.
  • It scores 43 on the Artificial Analysis Intelligence Index v4.1.1, ahead of Mistral Medium 3.5 (30), behind Claude Opus 5 (63).
  • It returns 500 tokens in 15.3 seconds and posts 69.3 on Terminal-Bench v2.1 and 75.0 on AA-LCR.
  • Access is through the CompactifAI API at dashboard.compactif.ai. Multiverse did not publish per-token pricing.
  • It writes text only. Video, images and publishing still need other tools.

What did Multiverse Computing launch with Quasar 438B?

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.

Why does Quasar 438B matter for creators?

  • A fast, native English-and-Spanish model matters most to bilingual and Spanish-language creators. Quasar was built for both languages rather than being English-first with Spanish bolted on, which is rarer at this capability tier than it should be.
  • It is built for agents and coding, not creator content. The benchmarks that moved — Terminal-Bench, long-context reasoning — are enterprise-automation scores, not "writes a scroll-stopping hook" scores. A high Intelligence Index rank does not make a model a content tool.
  • European sovereign AI is becoming a real procurement axis. Agencies and creators serving EU brands with data-residency requirements now have a domestic, high-scoring option to draft with, which can matter more than a leaderboard rank in a pitch.
  • Speed is the quiet story. Returning 500 tokens in roughly 15 seconds is quick for a 438B model, and for interactive drafting that responsiveness matters far more day to day than a single index number.
  • Access is API-only right now. There is no consumer app, no image or video generation, and no scheduling — Quasar is a raw model you or your tools call, so the work of turning a draft into finished, published content is still entirely on you.

How can creators use Quasar 438B drafts with Kompozy?

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.

What are the quick takeaways?

  • Multiverse Computing launched Quasar 438B on September 2, 2026 — its first large model and, per Artificial Analysis, the highest-scoring European model on the Intelligence Index (score 43 on v4.1.1).
  • It is a 438-billion-parameter reasoning model for enterprise agents, coding, and long-context reasoning, operating in English and Spanish.
  • Benchmarks: 43 on the Intelligence Index (ahead of Mistral Medium 3.5 and NVIDIA Nemotron 3 Ultra, behind Claude Opus 5 at 63), 69.3 on Terminal-Bench v2.1, 75.0 on AA-LCR, and ~15.3s to return 500 tokens.
  • Positioned as European sovereign AI; available via the CompactifAI API (dashboard.compactif.ai). Per-token pricing was not disclosed at launch.
  • It is an API-only text model — no image, video, or publishing — so turning a draft into finished, on-brand content across platforms is still a separate step, which is where a content engine like Kompozy fits.

What does this look like in Kompozy?

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.

Five-slide carousel generated in Kompozy, slide 1Five-slide carousel generated in Kompozy, slide 2Five-slide carousel generated in Kompozy, slide 3Five-slide carousel generated in Kompozy, slide 4Five-slide carousel generated in Kompozy, slide 5
Real output · Kompozy Carousel format · from the Kompozy workspace

Who is this for, and who should skip it?

Best for:

  • Bilingual English and Spanish creators who want a fast drafting model
  • Agencies serving EU clients that prefer a European-built model
  • Developers comfortable calling a model through an API

Not ideal for:

  • Anyone who wants a consumer chat app, since Quasar is API-only
  • Creators who need images or video, which Quasar does not generate
  • Teams that need published per-token pricing before they commit

Frequently asked questions

What is Quasar 438B?

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.

How does Quasar 438B compare to other AI models?

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.

Can I use Quasar 438B to create social content?

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.

Where can I access Quasar 438B?

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.

How do we know this?

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.

Sources

  1. Multiverse Computing — Introducing Quasar 438B (read 2026-10-23)
  2. GlobeNewswire via FinancialContent — Multiverse Computing launches Quasar 438B (read 2026-10-23)
  3. Kompozy — Pricing and plans (read 2026-10-23)

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