STUDIO BRIEFLocal AI hardware, read carefully
A buying decision with receipts

Same model. Different stakes.

The supplied post sets up an M3 Ultra and an M4 Max in LM Studio with the same local model. Choose what your work values before you let a benchmark decide for you.

Visible test frame

Mac Studio M3 Ultra on one side. Mac Studio M4 Max on the other. Same local model, according to the supplied post.

The source ends mid-sentence. This brief does not invent speed, price, memory, thermal, or energy results.
Choose the buying lens

Efficiency first

The M4 Max is the working hypothesis for a buyer who values a current, efficient daily setup. Confirm with the missing measurements before purchasing.

Conditional hardware lenses without invented measurements

Read the explanation

The page offers three buttons: daily efficiency, maximum scale and need more proof. Exactly one button becomes active after each click. The source stores one choice key from three possibilities, and displays its fixed title and rationale. Bars compare three available choices with one selected choice at one hundred fifty pixels per choice. These are interface counts, not performance scores. No hardware, model or benchmark is connected. The export names two machines, Mac Studio M3 Ultra and Mac Studio M4 Max, and the fixed test frame same local model in LM Studio. It contains zero speed, price, memory, thermal or energy measurements. Bars count two named machines versus zero actual measured metrics at two hundred pixels per count. The efficiency and scale rationale are source working hypotheses with explicit requests for missing proof, not independently supported purchase recommendations or an actual model comparison. The real JSON export has six top level fields: machines, test frame, choice, title, rationale and source boundary. Reset changes the single stored choice back to efficiency, while reload restores the current choice. Bars compare six exported fields with one local choice key using seventy pixels per item. Export and storage preserve the selected fixed text; they do not add benchmark data, verify current products or purchase anything. The source boundary explicitly states that no benchmark values are asserted.

Recommendation language is conditional. The post supplies a test frame, not a complete benchmark report.

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