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MiniMax Releases M3.0 With 9.7x Prefilling Speedup and 15.6x Decoding Speedup at 1M Context Tokens
MiniMax released M3.0 featuring a sparse attention architecture that delivers 9.7x prefilling speedup and 15.6x decoding speedup compared to M2 at 1M context tokens. The model introduces novel sparse attention mechanisms that maintain quality while dramatically reducing the computational cost of long-context processing. Posted on r/singularity with 62 upvotes; independently confirmed by AI Indigo's technical analysis.
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