🔬 research2026-04-20T00:00:00.000Z
Dense Transformers vs. Sparse Mixture of Experts: Architecture Trade-offs in Frontier LLMs (2026)
Comprehensive comparison of dense transformer architectures (Gemma 4, Claude, GPT-4) versus sparse Mixture of Experts (Qwen, M2.7, DeepSeek V4). Analyzes parameter efficiency, inference latency, training complexity, multimodal capability, and production deployment patterns across 2026's frontier models.
#architecture#moe#transformer#efficiency#frontier-models#benchmarks