llamaperf

M4 Max 48GB vs M6 32GB for local LLMs

1 report on the M4 Max 48GB and 3 on the M6 32GB

Which is faster for local LLMs?

On Qwen3.5 4B at 4-bit, the M4 Max 48GB runs at 85.0 tokens per second (one run) and the M6 32GB at 16.2 (one run). Those are community reports whose engines and settings differ, so the gap is a rough sign, not a controlled measure of the two cards. Memory bandwidth, which caps how fast a card can write, is 3.2x higher on the M4 Max 48GB (546 GB/s on the M4 Max 48GB, 171 on the M6 32GB).

M4 Max 48GB
Memory
48GB unified
Memory bandwidth
546 GB/s
FP16 compute
18.4 TFLOPS
Reports
1
M6 32GB
Memory
32GB unified
Memory bandwidth
171 GB/s
FP16 compute
not on record
Reports
3

Measured on both

Median tokens per second from plain runs (one device, one request, no speculative decoding, the whole model in the device's memory) of the same model size at the same quant level. Engines and context lengths can still differ between the runs. How to read these

ModelM4 Max 48GBM6 32GB
Qwen3.5 4B4-bit85.0one run16.2one run

Estimated by the calculator

The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape. Where a model was also measured above, the measurement wins.

ModelM4 Max 48GBM6 32GB
Qwen3.5 4B45.5 t/sFP1617.7 t/sFP16
Qwen3.8 27B16.6 t/sQ6_K10.5 t/sQ4_K_S
Qwen3.8 125B · 6B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 35B · 3B active66.0 t/sQ5_K_M38.2 t/sQ3_K_M
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 27B16.6 t/sQ6_K10.5 t/sQ4_K_S
Gemma 4 26B · 4B active32.3 t/sQ8_023.2 t/sQ4_K_M

Change the context, RAM or model in the calculator: M4 Max 48GB · M6 32GB

Every report on each card, with its source: M4 Max 48GB · M6 32GB

More comparisons