Model3h ago
Open-Weight Models Cut Long-Context Costs
KV sharing and compressed attention now power Gemma 4 and DeepSeek V4 to lower memory overhead. These architectural shifts reduce the computational cost of processing massive prompts. Developers gain efficiency without sacrificing reasoning quality. This trend makes long-context windows commercially viable for smaller, open-weight deployments.