DeepSeek drops new model to slash inference costs
DeepSeek just released an experimental model called V3.2-exp that uses a sparse attention method to cut long-context API costs in half. The system pairs a lightning indexer with a fine-grained token selector to ease server load over long prompts. It is already open-weight on Hugging Face, opening the door for third-party benchmarking.