🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model!
✨ Built on V3.1-Terminus, it debuts DeepSeek Sparse Attention (DSA) for faster, more efficient training & inference on long context.
👉 Now live on App, Web, and API
💰 API prices cut by 50%+!
⚡️ Efficiency Gains
🤖 DSA achieves fine-grained sparse attention with minimal impact on output quality — boosting long-context performance & reducing compute cost.
📊 Benchmarks show V3.2-Exp performs on par with V3.1-Terminus.
🧑💻 API Update
🎉 Lower costs, same access!
💰 DeepSeek API prices drop 50%+, effective immediately.
🔹 For comparison testing, V3.1-Terminus remains available via a temporary API until Oct 15th, 2025, 15:59 (UTC Time). Details: https://api-docs.deepseek.com/guides/comparison_testing
🛠 Open Source Release
🔗 Model: https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Exp
🔗 Tech report: https://github.com/deepseek-ai/DeepSeek-V3.2-Exp/blob/main/DeepSeek_V3_2.pdf
🔗 Key GPU kernels in TileLang & CUDA (use TileLang for rapid research prototyping!)