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MiniMax M3 launches with 1M context

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MiniMax M3 launches with 1M context
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// 1h agoMODEL RELEASE

MiniMax M3 launches with 1M context

Chinese AI startup MiniMax has officially launched MiniMax M3, a natively multimodal model featuring a 1 million token context window powered by its proprietary Sparse Attention architecture. The model achieves frontier-level coding and agentic capabilities at a fraction of standard compute costs, accompanied by developer platform and API updates.

// ANALYSIS

MiniMax M3 Frontier represents a major victory for efficient long-context architectures, showing that proprietary sparse attention mechanisms can achieve frontier performance with vastly reduced hardware requirements.

* Proprietary MSA architecture reportedly slashes prefill and decoding costs to as low as 1/20th of previous generations, presenting a massive threat to compute-heavy rivals.

* A native 1 million token context window combined with robust multimodal capabilities makes it a prime candidate for complex, long-horizon agentic and coding workflows.

* Strong benchmark numbers on SWE-Bench Pro show that open-weight/cost-efficient models are rapidly narrowing the gap with closed frontier giants.

// TAGS
minimaxminimax-m3llmmultimodalsparse-attentionlong-contextcoding

DISCOVERED

1h ago

2026-06-01

PUBLISHED

2h ago

2026-06-01

RELEVANCE

9/ 10

AUTHOR

theneuralf60362