MiniMax-M3
MiniMaxAI/MiniMax-M3
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 177.2K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 779.4K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +38.1K(increase)
- 5.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1,558
- +17 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #274 among tracked Image Text to Text models.
- #1,725
- 28(up 28 places)this week
- Parameters
- 427B
- Last source update
- Jul 23, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 94.2
- MiniMax-M3 gained 38.1K downloads during the last seven tracked days.
- It moved from #276 to #274 among tracked Image Text to Text models this week.
- The model earned 17 new likes over the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
MiniMax-M3 is a image text to text model published by MiniMaxAI. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 3, 2026.
- Published
- Jun 2, 2026
- Last updated
- Jul 23, 2026
- Library
- transformers
- License
- other
- Task
- Image Text to Text
- Parameters
- 427,040,140,160
- Spaces
- —
- Derivative models
- 15
- Velocity 7D/day
- 5,449
transformerssafetensorsminimax_m3_vlimage-text-to-textmultimodalmoeagentcodingvideoconversationalcustom_codearxiv:2606.13392
Publisher
MiniMaxAIView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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