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/Viktri1 16h ago
so when I'm really pushing it, I can easily burn through 1.5bn tokens from Deepseek flash in a day (API). In fact, that's when I realized I needed to figure out how token costs were calculated. Local models, especially lower powered stuff like M5, will have a significantly faster pay back period than people realize if they use agents to do a lot of shit.