Gemma 4, Qwen 3.6 drop for 96GB Ultra

The 96GB VRAM tier is currently the "sweet spot" for running frontier-class reasoning models without the enterprise GPU tax. Gemma 4 31B Dense is a top choice for JSON tasks due to its 256K context window and Gemini 3-derived architecture, while Qwen 3.6-Plus targets agentic workflows for autonomous industrial data handling. The M3 Ultra's unified memory architecture supports the massive KV caches required for large-scale record processing. Upgrading to these latest generations significantly reduces schema hallucinations in high-density JSON extraction. For optimal results, use GGUF with grammar-based sampling to ensure valid output for industrial datasets.