Uploaded October 2025 | Updated September 2026, 28 minutes ago
MiniMax just dropped a monster: the MiniMax M2, an open-weight 230B MoE model with 10B active parameters — think Claude Sonnet speed at 8% of the price, and it’s open.
It ranks #5 globally on the AA benchmark and still #1 among open models, outperforming Claude Sonnet 4 and Gemini 2.5 Pro in both agentic and coding tasks.
If you’ve been hunting for frontier-level performance without frontier-level costs, this might be your new go-to:
⚙️ 200K context
⚡ ~2x faster inference
💡 optimized for agent loops and reliability
Oh, and it runs locally on just 4×H100s. This is what open AI done right looks like.
I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀
#minimax #aiagents #opensourceai #short
MiniMax just dropped a monster: the MiniMax M2, an open-weight 230B MoE model with 10B active parameters — think Claude Sonnet speed at 8% of the price, and it’s open.
It ranks #5 globally on the AA benchmark and still #1 among open models, outperforming Claude Sonnet 4 and Gemini 2.5 Pro in both agentic and coding tasks.
If you’ve been hunting for frontier-level performance without frontier-level costs, this might be your new go-to:
⚙️ 200K context
⚡ ~2x faster inference
💡 optimized for agent loops and reliability
Oh, and it runs locally on just 4×H100s. This is what open AI done right looks like.
I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀
#minimax #aiagents #opensourceai #short
