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MiniMax M3: Open-weight 1M-context model released, but commercial use restricted

MiniMax has released MiniMax M3, an open-weight Mixture-of-Experts model featuring a 1 million token context window and native multimodality. The model boasts 428 billion total parameters, with only 23 billion active per token, and achieves a 59.0% score on SWE-Bench Pro, positioning it as a strong contender among open-weight models. However, running M3 requires significant hardware resources, typically a multi-GPU server with over 200GB of VRAM, and its community license restricts commercial use without a separate agreement. AI

IMPACT Sets a new bar for open-weight models in long-context and multimodal capabilities, though hardware and licensing present significant hurdles for widespread adoption.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MiniMax M3: Open-weight 1M-context model released, but commercial use restricted

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  1. dev.to — LLM tag TIER_1 English(EN) · Jovan Chan ·

    MiniMax M3 Review 2026: Open-Weight 1M-Context Frontier

    <blockquote> <p>This article was originally published on <a href="https://aifoss.dev/blog/minimax-m3-open-weight-review-2026/" rel="noopener noreferrer">aifoss.dev</a></p> </blockquote> <p><strong>TL;DR</strong>: MiniMax M3 is a 428B-parameter (23B active) open-weight MoE release…