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Apple M2 Max vs Apple M3 Max for local AI

Both fit the same models we track, up to gpt-oss 120B. They generate at about the same speed, since their memory bandwidth is close (400 and 400 GB/s).

The numbers that matter

Memory and bandwidth

Memory decides which models fit. Bandwidth decides how fast they generate, because every token reads the model's active weights once.

Apple M2 MaxApple M3 Max
Memory32 or 64 or 96 GB unified memory36 or 48 or 64 or 96 or 128 GB unified memory
Usable for modelsAbout 72 GB of 96 GBAbout 96 GB of 128 GB
Bandwidth400 GB/s400 GB/s
Biggest model that fitsgpt-oss 120Bgpt-oss 120B
Best everyday pickgpt-oss 120B, ~48 tok/sgpt-oss 120B, ~48 tok/s
Model by model

Every model, side by side

Estimated generation speed at the largest memory size each was sold in (96 GB and 128 GB).

ModelApple M2 MaxApple M3 Max
Qwen3 4B
About 4 GB
~88 tok/s Runs great~88 tok/s Runs great
Qwen3 8B
About 7 GB
~42 tok/s Runs great~42 tok/s Runs great
Gemma 3 12B
About 10 GB
~27 tok/s Usable~27 tok/s Usable
Qwen3 14B
About 11 GB
~24 tok/s Usable~24 tok/s Usable
gpt-oss 20B
About 16 GB
~70 tok/s Runs great~70 tok/s Runs great
Gemma 3 27B
About 19 GB
~13 tok/s Usable~13 tok/s Usable
Qwen3 30B-A3B
About 21 GB
~70 tok/s Runs great~70 tok/s Runs great
Qwen3 32B
About 22 GB
~11 tok/s Usable~11 tok/s Usable
Llama 3.3 70B
About 45 GB
~5 tok/s Slow~5 tok/s Slow
gpt-oss 120B
About 67 GB
~48 tok/s Runs great~48 tok/s Runs great
Qwen3 235B-A22B
About 144 GB
Needs 144 GBNeeds 144 GB
DeepSeek R1 671B
About 406 GB
Needs 406 GBNeeds 406 GB
Which should you get?

They're close for local AI, so pick on price. Price matters as much as either number: check used prices on the builds page, where every parts list has a measured or estimated speed.

How we estimate

Both columns use the same formula: memory bandwidth divided by the weights read per token, calibrated on our own rack, with Ollama's default 4-bit sizes. Real results are usually within about a third. Measured either one? Send us the number.

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