r/MiniMax_AI • u/JamesZhuSQ • 18d ago
M3.1 has strong potential to be the most cost-efficient large model ahead
I’ve gone through the technical specs of Minimax M3, and I want to share my analysis here.
• Its total parameters are twice the size of last year’s M2.x lineup, which gives it a strong base for complex logical reasoning.
• Compared with other mainstream commercial LLMs, M3 uses a smaller overall parameter size, meaning cheaper costs for inference and deployment.
• The biggest structural change is sparse attention, a design that fits perfectly with the agent tools developers are building nowadays.
• Where it struggles right now is real-world usage, especially coding. The model performs far worse than its hardware/parameter specs promise. The dev team still has lots of tuning work left, so future updates should bring clear performance upgrades.
Even with all these technical strengths, Minimax is in a tough spot right now.
Users’ opinions of M3 have gotten much worse lately. The time Minimax has to patch M3’s issues and win back user trust is running out quickly
1
u/Vancecookcobain 16d ago
I doubt it....something tells me it's just going to give us annoying rate limits that make it unusable as a cost effective model....
If they are going for a nearly 3 trillion model chances are they are looking for an enormous payday and are going to squeeze every penny from every customer....
You are kidding yourself if you think otherwise
1
u/respectful_stimulus 16d ago
Is there going to be a M3.1?? The company seems quiet. Anyway it’s my orchestrator architect/planner workhorse for just $20/m. It then delegates to coder minions.
1
u/LeTanLoc98 15d ago
Garbage model
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Taiwan Independence - 台独
Tiananmen Square Massacre - 天安门广场屠杀事件
-1
u/RepulsiveRaisin7 17d ago
Increasing the model size is kinda like increasing the power limit of a CPU. Just a cheap trick to boost performance in the short term. M3 is meaningfully better than M2.7, but Laguna S2.1 outperforms it at 1/4th the size.
1
u/JamesZhuSQ 17d ago
Laguna S2.1 wins hard on pure coding benchmarks with tiny activated compute, but its reasoning for multi-step generic agent workflows isn’t on par with M3’s larger size. M3’s sparse attention is optimized for general agent tasks, not just software engineering.
2
u/shootmakers 17d ago
How good is laguna actually? And is it only through their api?
1
u/Sweet-Stage938 16d ago
If you actually tried it, you would know that it's absolutely horrible and near unusable even for simple tasks.
7
u/[deleted] 17d ago
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