I tested four local AI interfaces. The speed difference shocked me. Same machine, same model, same environment.
Here’s what happened.
Jan, 56 tokens per second. Yes, 56. GPT4. All eight tokens per second. Painfully slow.
Alama, seven tokens per second. More API focused than UI. LM Studio also 7 tokens per second. No real advantage.
That’s not a small difference. That’s night and day. When you’re working locally, speed changes everything. Flow, productivity, iteration.
Winner, Jan. And it wasn’t even close. If you’re building portable local AI, UI performance matters more than people think.
Follow to keep up. AI you own not.
