MiniMax M2.7 Achieves Astounding 95% on MMLU Benchmark for Local Mac Inference
product#llm📝 Blog|Analyzed: Apr 12, 2026 15:34•
Published: Apr 12, 2026 10:08
•1 min read
•r/LocalLLaMAAnalysis
The release of the MiniMax M2.7 Large Language Model (LLM) is an incredibly exciting development for the local AI community, demonstrating unprecedented performance on Apple Silicon. Achieving a massive 95% on the MMLU benchmark with the 89GB variant brings high-end, powerful Generative AI directly to consumer hardware. This breakthrough signals a bright future for Open Source models, bridging the gap between local device capabilities and top-tier cloud solutions like Claude 3.5 Sonnet.
Key Takeaways
- •The MiniMax M2.7 89GB model achieves a remarkable 95% score on the rigorous MMLU benchmark.
- •The model is highly optimized for Mac hardware, running efficiently on M-series chips with impressive Inference speeds.
- •This release represents a major leap forward for Open Source AI, rivaling closed-source industry leaders locally.
Reference / Citation
View Original"Absolutely amazing. M5 max should be like 50token/s and 400pp, we’re getting closer to being “sonnet 4.5 at home” levels."
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