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MiniMax launches 428B M3.1 Flash MoE model with 1M context

MiniMax has launched its M3.1 Flash model, a 428B parameter Mixture-of-Experts model with a 1 million token context window. The model is available via the MiniMax API and is designed for agentic tasks, coding, and visual reasoning. MiniMax reports strong performance on agentic benchmarks, outperforming models like GPT 5.6 "Sol" and Opus 5 on tasks such as Automation-Bench v1.0.6. However, its coding performance is mixed, with some benchmarks showing it trailing behind competitors like DeepSeek-v4.1-Flash-1017. AI

IMPACT Offers near-frontier agentic capabilities at a competitive price point, potentially lowering the barrier for complex task automation.

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

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

MiniMax launches 428B M3.1 Flash MoE model with 1M context

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29 / 100
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Significant
Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    MiniMax Just Launched M3.1 Flash: 428B MoE Agentic Model at $0.15/M Input

    <p>MiniMax has released M3.1 Flash, a 428B-parameter MoE model with about 23B active parameters and a 1M-token context. API pricing is $0.15/$0.60 per 1M tokens, with weights due October 23</p> <p>The post <a href="https://www.marktechpost.com/2026/10/19/minimax-m3-1-flash-releas…