Unverified50% confidenceFactExact time
FlashAttention is an IO-aware exact attention algorithm that fuses the attention matrix computation into SRAM through tiling and online softmax, maintaining numerical exactness while reducing memory usage and improving speed, and has become the default implementation in mainstream inference frameworks.
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50%
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Long-term
Relevance
10/14/2026
First Seen
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UnverifiedStep 3.5 Flash采用混合注意力系统（Hybrid Attention），对短内容使用滑动窗口注意力，对长内容切换为完整注意力机制72% similarUnverified盘古2.0 Flash提供512K的超长上下文窗口，采用MLA、DSA和SWA三种注意力机制的组合设计70% similarUnverifiedJagged Flash Attention (JFA) directly processes variable-length (jagged) sequences, avoiding padding with invalid tokens for alignment.70% similarUnverifiedV4.1 Flash is highly efficient in simple tool-calling scenarios; for example, building a stateful web application can be completed in two turns with a single tool call.69% similarUnverifiedFlash is better suited for front-end tasks and real-image capabilities that Pro itself does not support.65% similar
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