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Mac Studio M5 Max cost analysis favors waiting for smaller AI models

By PulseAugur Editorial · [1 sources] ·

A cost analysis suggests that for local inference, it is more economical to wait for smaller AI models to improve rather than investing in high-end hardware like the Mac Studio M5 Max. The author notes that for $10,000, one could access a significant number of tokens from models like Qwen 3.8 Max or DeepSeek V4 Pro via OpenRouter. They recommend using a 24GB-32GB graphics card for models such as Qwen 3.8 27B and offloading more demanding tasks to cloud services. AI

IMPACT Suggests cost-effectiveness in local AI inference by prioritizing smaller, improving models over expensive hardware.

RANK_REASON The item is a cost-analysis and opinion piece regarding AI model inference hardware, not a direct release or significant industry event.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Mac Studio M5 Max cost analysis favors waiting for smaller AI models

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Commentary
The item is a cost-analysis and opinion piece regarding AI model inference hardware, not a direct release or significant industry event.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, model release
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High
Clearly on-topic for AI-industry coverage.
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Same-day
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/AndreVallestero ·

    Mac Studio M5 Max Cost Analysis

    <!-- SC_OFF --><div class="md"><p>At $10k, you could get</p> <p>- 6.2B tokens with Qwen 3.8 Max (Qwen Pro plan)</p> <p>- 5.7B tokens with DeepSeek V4 Pro OpenRouter</p> <p>- 100B tokens with DeepSeek V4 Flash OpenRouter</p> <p>As a firm believer of local inference, unless you nee…

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