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MiniMax M3 released open weights on Hugging Face with ~428 billion total…

2026-06-12 · 14:11 UTC ·@MiniMax_AI ·0 min read

Brief

MiniMax M3 is an open-weight model published to Hugging Face claiming ~428B parameters (≈23B activated) and frontier coding/agentic scores—59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, and 74.2% MCP Atlas. It uses MiniMax Sparse Attention to scale context to 1M tokens, is natively multimodal, and will publish a tech report and full weights in about ten days; API, token plan, and MiniMax Code links were also posted.

Why it matters

MiniMax M3 released open weights on Hugging Face with ~428 billion total parameters and ~23 billion activated parameters; weights link: huggingface.co/MiniMaxAI/Min…

Key details

  • Model claims frontier coding/agentic performance: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, and 74.2% MCP Atlas; tech report and full weights due in ~10 days
  • Architecture features MiniMax Sparse Attention that scales context to 1,000,000 tokens and is natively multimodal from step zero; API, token plan, and a new MiniMax Code portal announced (platform.minimax.io, code.minimax.io)
Source evidence

MiniMax M3, Open-Weight, Now On Hugging Face , with only ~428B parameters and ~23B activated parameters

Weights:
huggingface.co/MiniMaxAI/Min…
MiniMax Sparse Attention:
huggingface.co/papers/2606.1…

MiniMax (official) (@MiniMax_AI)

Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities

  • Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas
  • MiniMax Sparse Attention scales context to 1M
  • Natively Multimodal from Step Zero

API: platform.minimax.io
Token Plan: platform.minimax.io/subscrib…
🚀New! MiniMax Code: code.minimax.io

Weights & Tech Report in ~10 Days

— https://nitter.net/MiniMax_AI/status/2061266317815296322#m