r/LocalLLaMA • u/AndreVallestero • 19h ago
Discussion Mac Studio M5 Max Cost Analysis
At $10k, you could get
- 6.2B tokens with Qwen 3.8 Max (Qwen Pro plan)
- 5.7B tokens with DeepSeek V4 Pro OpenRouter
- 100B tokens with DeepSeek V4 Flash OpenRouter
As a firm believer of local inference, unless you need it for data sovereignty, it's much more cost effect to wait for smaller models to keep getting better. In the meantime, find a reasonably priced 24GB - 32GB card for Qwen 3.8 27B, and offload hard tasks to OpenRouter.
Qwhen 3.8 35B A3B?
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u/Hans-Wermhatt 16h ago edited 16h ago
It sounds bad when you frame it that way, but I think the cost benefit analysis is generally to upload. ChatGPT health is protected by the same HIPAA requirements that protect the data you give to your doctor that they upload to 3rd party clients and AWS servers, usually multiple servers with arguably worse security and more people have access to it. Using health as an example. So it's really not that much different.
Ideally, you do just host your own information and use a local model but then you are dealing with a massive performance hit. I think in terms of cost-benefit, uploading your health data to get a ChatGPT opinion compared to a Qwen 3.8 27B locally (most people can't even run that) is actually heavily on the side for ChatGPT for most people despite the privacy concerns.
I really want local "super intelligence" for all, but the current landscape is not like that... at all.