According to Google DeepMind, the company introduced four model variants—31B Dense, 26B MoE, E4B, and E2B—targeting advanced local reasoning and mobile edge use cases, including custom coding assistants, scientific data analysis, and real-time text, vision, and audio processing (as reported by Google DeepMind on Twitter, Apr 2, 2026). According to Google DeepMind, the 31B Dense and 26B MoE models aim for state-of-the-art performance on-device for complex reasoning tasks, while E4B and E2B are optimized for mobile latency and multimodal inference at the edge (as reported by Google DeepMind on Twitter, Apr 2, 2026). For businesses, according to Google DeepMind, these tiers enable cost control by shifting workloads from cloud to local devices, improving privacy and offline reliability for enterprise coding copilots, field diagnostics, and multimodal assistants (as reported by Google DeepMind on Twitter, Apr 2, 2026).