Home / Companies / Eden AI / Blog / Post Details
Content Deep Dive

Quasar 438B is on Eden AI: Benchmarks, Pricing, and API Access

Blog post from Eden AI

Post Details
Company
Date Published
Author
Clément Moreau
Word Count
2,355
Company Posts That Month
6
Language
English
Hacker News Points
-
Post removed?
No
Summary

Multiverse Computing released Quasar 438B on September 2, 2026, positioning its first proprietary large model as a high-performing European option for reasoning, agentic coding, and long-context workloads. According to Artificial Analysis results cited in the release, it scored 43 on the Intelligence Index, ranking first among European models and 13th of 178 globally, while offering a 1 million-token context window, a 69.3 Terminal-Bench v2.1 score, and a 75.0 AA-LCR long-context reasoning score. Developed by the Spanish company behind the CompactifAI compression platform, Quasar has 438 billion parameters and is presented as more efficient than NVIDIA Nemotron 3 Ultra, which has more parameters but a lower index score. It supports tool calling, structured outputs, English and Spanish, and always-on reasoning whose separately returned trace contributes to output-token costs. Available through Eden AI as compactifai/quasar-438b, it costs $0.60 per million input tokens and $1.80 per million output tokens, making it most suitable for difficult planning, coding, repository analysis, and document-review tasks rather than simple automated operations. Although it narrows the capability gap for European AI providers, it remains API-only, lacks support for languages such as French and German, and trails leading global frontier models on the same benchmark.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Cost per task 1 130 68 32 +103%
LLM 1 6,012 1,158 239 +15%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.