Model1d ago
Open-Weight Models Slash Long-Context Costs
KV sharing and compressed attention now drive efficiency in Gemma 4 and DeepSeek V4. These architectural shifts reduce the memory overhead required for processing massive prompts. Developers gain faster inference speeds without sacrificing accuracy. This trend makes long-context windows commercially viable for smaller, open-weight deployments.