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MiniMax AI releases open-source M3 model with 1M context

By PulseAugur Editorial · [1 sources] ·

MiniMax AI has released MiniMax M3, a new open-source model with 428 billion parameters and 1 million tokens of context. This model aims for uncensored output and performance comparable to Gemini 3.1 Pro. It can be run locally, with dynamic 2-bit GGUF requiring 138GB of RAM/VRAM and 3-bit requiring 165GB. AI

IMPACT This open-source release with a large context window and competitive performance could spur further innovation in local LLM deployment.

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

Read on X — MiniMax AI →

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

MiniMax AI releases open-source M3 model with 1M context

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
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
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
100 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. X — MiniMax AI TIER_1 English(EN) · MiniMax_AI ·

    RT @jun_song: My goal on Minimax M3 post-train :

    RT @jun_song: My goal on Minimax M3 post-train : Uncensored, sovereignty, better performance than Opus-4.7 Let’s start cooking.

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