Model13h ago
New LLM Architectures Slash Long-Context Costs
KV sharing and compressed attention now drive efficiency in models like Gemma 4 and DeepSeek V4. These techniques minimize memory overhead during inference. This shift allows developers to handle massive contexts without linear cost spikes. The result is a practical path toward cheaper, long-form reasoning for open-weight deployments.