MiniMax AI releases 428B parameter M3 multimodal model

By PulseAugur Editorial · [2 sources] · 2026-06-12 23:50

MiniMax AI has released its M3 series of models, featuring a 428 billion parameter count. The company stated that the parameter size was deliberately restrained to allow for affordable local execution by enthusiasts. The M3 series is a multimodal model capable of reasoning across text, image, and video. AI

IMPACT New multimodal model release with a focus on accessibility for local enthusiasts.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

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model release

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

X — MiniMax AI TIER_1 English(EN) · MiniMax_AI · 2026-06-12 23:51

RT @RyanLeeMiniMax: We’ve been discussing what parameter size works best for the community. While the M3 series boasts a larger parameter c…

RT @RyanLeeMiniMax: We’ve been discussing what parameter size works best for the community. While the M3 series boasts a larger parameter c…
X — MiniMax AI TIER_1 English(EN) · MiniMax_AI · 2026-06-12 23:50

RT @msharmavikram: Deploy MiniMax M3 with @nvidia Dynamo at scale using your favorite inference engine - @vllm_project, @sgl_project, or T…

RT @msharmavikram: Deploy MiniMax M3 with @nvidia Dynamo at scale using your favorite inference engine - @vllm_project, @sgl_project, or T…

COVERAGE [2]

RT @RyanLeeMiniMax: We’ve been discussing what parameter size works best for the community. While the M3 series boasts a larger parameter c…

RT @msharmavikram: Deploy MiniMax M3 with @nvidia Dynamo at scale using your favorite inference engine - @vllm_project, @sgl_project, or T…

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