Multiverse Computing has introduced Quasar 438B, a flagship reasoning model designed for enterprise-scale agents, coding, and multi-step task planning. Operating in English and Spanish, the model achieves a score of 43 on the Artificial Analysis Intelligence Index v4.1.1—a composite of nine benchmarks including GPQA Diamond and SciCode—making it the highest-scoring European model, outperforming Mistral Medium 3.5 (30) and NVIDIA Nemotron 3 Ultra (38). Quasar demonstrates significant efficiency by returning 500 tokens in 15.3 seconds, including reasoning time, surpassing the latency of competitors like Inkling (48.3s) and Nemotron 3 Ultra (25.7s). In long-context reasoning, measured by the AA-LCR, Quasar scores 75.0, placing it on par with Grok 4.6 and within a single point of Claude Opus 5 (75.7). For agentic terminal environments, it achieved a 69.3 on Terminal-Bench v2.1. The model is optimized for high-performance workflows such as software development agents and research systems, accessible via the CompactifAI API to allow for immediate deployment without local infrastructure requirements. Despite its high parameter count, the model maintains frontier-class speeds, positioning it as a viable alternative for interactive, real-time agentic loops.