A guy who runs AI models locally just benchmarked three machines against each other
The results broke the internet
Nobody is talking about this device yet
M4 Pro Mac Mini - PP512: 563
Framework Desktop Strix Halo - PP512: 342
DJX Spark - PP512: 2107
That's not a typo. 2107.
Everyone was sleeping on the DJX Spark because they were only testing token generation speed. That's the wrong metric. The part that actually matters for heavy AI workloads is prompt processing - the computationally expensive phase that determines how fast your model thinks before it even starts responding.
Mac Mini handles it at 563. Strix Halo drops to 342. DJX Spark hits 2107.
That's 3.7x faster than the Mac Mini on the metric that actually counts.
The people who tested it early missed this completely. They ran basic chat sessions, saw average token generation, moved on. Nobody stress tested the pre-fill phase until now.
This changes the math on running large local AI models entirely. 30 billion parameter models that felt slow suddenly feel instant. The bottleneck most people blamed on their model was actually their hardware all along.
The DJX Spark isn't just another AI PC. It's the first consumer device that handles prompt processing at a level nobody expected at this price point.
Most people are still arguing about cloud vs local AI in 2026. This guy just showed why local won
A guy who runs AI models locally just benchmarked three machines against each other
The results broke the internet
Nobody is talking about this device yet
M4 Pro Mac Mini - PP512: 563
Framework Desktop Strix Halo - PP512: 342
DJX Spark - PP512: 2107
That's not a typo. 2107.
Everyone was sleeping on the DJX Spark because they were only testing token generation speed. That's the wrong metric. The part that actually matters for heavy AI workloads is prompt processing - the computationally expensive phase that determines how fast your model thinks before it even starts responding.
Mac Mini handles it at 563. Strix Halo drops to 342. DJX Spark hits 2107.
That's 3.7x faster than the Mac Mini on the metric that actually counts.
The people who tested it early missed this completely. They ran basic chat sessions, saw average token generation, moved on. Nobody stress tested the pre-fill phase until now.
This changes the math on running large local AI models entirely. 30 billion parameter models that felt slow suddenly feel instant. The bottleneck most people blamed on their model was actually their hardware all along.
The DJX Spark isn't just another AI PC. It's the first consumer device that handles prompt processing at a level nobody expected at this price point.
Most people are still arguing about cloud vs local AI in 2026. This guy just showed why local won
A 21-year-old from China is charging businesses $1,500 for videos that cost him 15 minutes to make
He linked Claude to Higgsfield through MCP and started generating cinematic ad videos for local businesses
Over $13,000 last month. This is now his only income.
No film crew. No director. No budget. Just a prompt that tells Claude exactly what kind of shot to create - camera angle, lighting, motion, mood - and Higgsfield renders it into something that looks like it cost $50,000 to produce.
His pitch to clients is simple. He finds luxury brands, car dealerships, restaurants that are still paying agencies $5,000-10,000 for video ads. He shows them a sample. Charges $800-1,500 per clip. His actual cost - 15 minutes and a few API credits.
The gap between what agencies charge and what this costs is where the $13,000 a month comes from.
He calls it the new meta and looking at the numbers - it's hard to argue
Claude handles the creative direction. Higgsfield handles the visuals. He handles the invoice.
Most businesses have no idea this is even possible yet. That window doesn't stay open forever.
The ones who move first will eat. Everyone else will wonder what happened.