Xiaomi teases MiMo-V3 with HySparse2 architecture

// 1h agoNEWS

Xiaomi teases MiMo-V3 with HySparse2 architecture

Xiaomi has previewed its upcoming foundation model, MiMo-V3, powered by a new hybrid sparse-attention architecture called HySparse2 engineered for agentic AI workloads. Integrating two-level key-value sharing with token-level sparsity, the architecture slashes 1-million-token prefill compute by 80% and reduces KV cache memory usage by 78% while preserving long-context retrieval accuracy.

// ANALYSIS

The real bottleneck for practical AI agents is no longer reasoning depth, but the staggering inference and memory costs of re-reading massive tool traces.

–Slashing prefill compute by 5x and KV cache consumption by 4.5x solves the core economic challenge of production-grade, multi-turn agent loops.
–Adopting fine-grained token-level sparsity alongside YOCO-style layer cache reuse illustrates how model architectures are evolving away from generic chat toward agent-native infrastructure.
–Teasing MiMo-V3 immediately after the MiMo-V2.6 release demonstrates Xiaomi's accelerating commitment to competing directly with top open-weight foundation model developers.

// TAGS

xiaomimimo-v3hysparse2llmagentlong-contextsparse-attention

DISCOVERED

1h ago

2026-09-24

PUBLISHED

1h ago

2026-09-24

RELEVANCE

7/ 10

AUTHOR

AISpaceFeed

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Xiaomi teases MiMo-V3 with HySparse2 architecture