Overview
This comparison examines two MoE models reported in November 2026: Thinking Machines Inkling 2 Small and Baidu ERNIE 5.5 Flash Base. Both models utilize a sparse Mixture-of-Experts architecture, balancing massive total capacity with much smaller active parameter footprints during inference.
Architectural Comparison
Analytical Perspective
From an analytical standpoint, both models represent the industry preference for high-capacity sparse activation. While Inkling 2 Small operates at a larger aggregate scale (594B vs. 280B), both maintain active parameter budgets tightly clustered near the 14B–17B range. Readers should note that these figures are based entirely on published release announcements; performance benchmarks and hands-on evaluations are outside the scope of this evidentiary comparison.