M1 Pro vs M2 Pro for local AI.

The M1 Pro and M2 Pro read memory at about the same speed, so they write at about the same speed with any model that fits both. Both go up to 32 GB of memory.

M1 Pro200 GB/sup to 32 GB · 30 models run wellM2 Pro200 GB/sup to 32 GB · 30 models run well

Side by side

M1 ProM2 Pro
Memory sizes16, 32 GB16, 32 GB
Memory bandwidth200 GB/s200 GB/s
For models, at mostabout 24 GBabout 24 GB
Models that run well30 of 7330 of 73
MLX seat classProPro
Found inMacBook Pro (14-inch, 2021), MacBook Pro (16-inch, 2021)MacBook Pro (14-inch, 2023), MacBook Pro (16-inch, 2023), Mac mini (2023)

Speed with popular models

Tokens a second for one conversation, each chip at its largest memory size (32 GB and 32 GB), with the best version of the model that fits.

ModelM1 ProM2 Pro
Llama 3.1 8B Instruct8B11–19 8-bit11–19 8-bit
gpt-oss-20b21B · 3.6B active47–84 native 4.25-bit47–84 native 4.25-bit
Qwen3.6 35B A3B35B · 3B active53–94 4-bit53–94 4-bit
Qwen3.8 27B27B4–7 6-bit4–7 6-bit
Llama 3.3 70B Instruct70B4–7 2-bit lower quality4–7 2-bit lower quality
gpt-oss-120b117B · 5.1B activetoo bigtoo big
Qwen3.5 122B A10B122B · 10B activetoo bigtoo big
DeepSeek V4 Flash 0731284B · 13B activetoo bigtoo big

Questions

Is the M2 Pro faster than the M1 Pro for LLMs?
About the same: their memory bandwidth is within a few percent. Both go up to 32 GB of memory.
Which can run bigger models, the M1 Pro or the M2 Pro?
Neither: both go up to 32 GB. At that size the M1 Pro runs 30 and the M2 Pro 30 of 73 open models well; the faster one clears more of them at 10 tokens a second.

More comparisons

The M1 Pro for local AI · The M2 Pro for local AI · Compare every model · The best Mac for local LLMs

How it’s worked out

Memory: the model’s parameters at 8, 6, 4, 3 or 2 bits per weight plus MLX’s group scales (half a bit per weight), or its native format, with room for the context on top. By default macOS lets the GPU use about 75% of unified memory. Speed: memory bandwidth divided by the bytes read per token is the ceiling for one conversation; in llama.cpp’s public Apple Silicon benchmarks real runs reach about 45% to 80% of it, which is the range shown. These are estimates, not measurements: measure your own Mac on MLX Bench. Model figures from each official model card, chip figures from Apple’s Tech Specs. Checked 2026-10-19. Same data as mlx.app/compare.

M1 Pro vs M2 Pro for local LLMs: memory, speed, which to buy