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MiniMax Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With a 3T-Token Budget

Low Severity Global
Date Occurred Jun 17, 2026 07:44 UTC
Event Type AI News
Source MarkTechPost
Recorded Jun 17, 2026
Full Description

<p>MiniMax released MSA, a sparse attention built on Grouped Query Attention. A lightweight Index Branch selects Top-k key-value blocks per query and GQA group; the Main Branch attends only to those blocks. It matches GQA on downstream benchmarks while reducing per-token attention compute 28.4× at 1M context.</p> <p>The post <a href="https://www.marktechpost.com/2026/06/17/minimax-sparse-attention-msa-a-two-branch-block-sparse-attention-trained-on-a-109b-parameter-moe-with-a-3t-token-budget/">Mi

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Event Metadata
  • ID #9187
  • Type AI News
  • Region Global
  • Severity Low
  • Indexed Jun 17, 2026