Is the Ryzen AI Max+ 395 faster than the M4 Pro for LLMs?

The M4 Pro reads memory about 7% faster than the Ryzen AI Max+ 395 (273 vs 256 GB/s), so it writes about 7% faster with any model that fits both. In llama.cpp’s measured test the Ryzen AI Max+ 395 reads a prompt about 2.9× as fast (1,289 vs 440 tokens a second). Reading a prompt depends on GPU compute rather than memory bandwidth, so this sets the wait before the first word with a long document or codebase.

Which can run bigger models, the M4 Pro or the Ryzen AI Max+ 395?

The Ryzen AI Max+ 395 has about 96 GB for models, the M4 Pro about 48 GB. 31 of 73 popular open models run well on the M4 Pro, 39 on the Ryzen AI Max+ 395.

Can MLX Node run on the Ryzen AI Max+ 395?

No. MLX Node and MLX Harness run on Apple Silicon Macs only, with Apple’s MLX framework.

M4 Pro vs Ryzen AI Max+ 395 for local LLMs: memory, speed, which to buy

Side by side

	M4 Pro	Ryzen AI Max+ 395
What it is	Mac mini (2024), MacBook Pro (14-inch, M4 Pro or M4 Max, 2024), MacBook Pro (16-inch, 2024)	A complete small computer
Memory sizes	24, 48, 64 GB	128 GB
Memory bandwidth	273 GB/s	256 GB/s
For models, at most	about 48 GB	about 96 GB
Models that run well	31 of 73	39 of 73
Measured: writing	51 tok/s	54 tok/s
Measured: reading a prompt	440 tok/s	1,289 tok/s

Measured rows: each machine’s fastest result in llama.cpp’s public benchmarks with Llama 2 7B Q4_0, writing 128 tokens (tg128) and reading a 512-token prompt (pp512), in tokens a second. The Mac ran Metal, the Ryzen AI Max+ 395 Vulkan. Apple Silicon results · Ryzen AI Max+ 395 results For models we count about 75% of memory on both, the macOS default, because the Ryzen AI Max+ 395 also shares one memory pool between its CPU and GPU. How much its GPU may really use depends on its operating system and settings.

Where each one wins

Writing speed. The M4 Pro reads memory about 7% faster than the Ryzen AI Max+ 395 (273 vs 256 GB/s), so it writes about 7% faster with any model that fits both.
Model size. The Ryzen AI Max+ 395 has about 96 GB for models, the M4 Pro about 48 GB. 31 of 73 popular open models run well on the M4 Pro, 39 on the Ryzen AI Max+ 395.
Reading long prompts. In llama.cpp’s measured test the Ryzen AI Max+ 395 reads a prompt about 2.9× as fast (1,289 vs 440 tokens a second). Reading a prompt depends on GPU compute rather than memory bandwidth, so this sets the wait before the first word with a long document or codebase.
Software. The Ryzen AI Max+ 395 runs Windows or Linux, and llama.cpp runs on its GPU with Vulkan. Software that needs NVIDIA’s CUDA runs on neither machine.
Around it. Both are complete computers that keep the model in one memory pool shared by the CPU and GPU.
The Mac. It’s also an everyday computer, and it runs MLX Harness and MLX Node, which are made for Apple Silicon.

Speed with popular models

Tokens a second for one conversation, each chip at its largest memory size (64 GB and 128 GB), with the best version of the model that fits.

Model	M4 Pro	Ryzen AI Max+ 395
Llama 3.1 8B Instruct8B	14–26 8-bit	14–24 8-bit
gpt-oss-20b21B · 3.6B active	65–115 native 4.25-bit	61–108 native 4.25-bit
Qwen3.6 35B A3B35B · 3B active	38–68 8-bit	36–64 8-bit
Qwen3.8 27B27B	4–8 8-bit	4–7 8-bit
Llama 3.3 70B Instruct70B	3–6 4-bit	2–3 8-bit
gpt-oss-120b117B · 5.1B active	77–137 2-bit lower quality	43–76 native 4.25-bit
Qwen3.5 122B A10B122B · 10B active	40–70 2-bit lower quality	21–37 4-bit
DeepSeek V4 Flash 0731284B · 13B active	too big	28–50 2-bit lower quality

Questions

Is the Ryzen AI Max+ 395 faster than the M4 Pro for LLMs?: The M4 Pro reads memory about 7% faster than the Ryzen AI Max+ 395 (273 vs 256 GB/s), so it writes about 7% faster with any model that fits both. In llama.cpp’s measured test the Ryzen AI Max+ 395 reads a prompt about 2.9× as fast (1,289 vs 440 tokens a second). Reading a prompt depends on GPU compute rather than memory bandwidth, so this sets the wait before the first word with a long document or codebase.
Which can run bigger models, the M4 Pro or the Ryzen AI Max+ 395?: The Ryzen AI Max+ 395 has about 96 GB for models, the M4 Pro about 48 GB. 31 of 73 popular open models run well on the M4 Pro, 39 on the Ryzen AI Max+ 395.
Can MLX Node run on the Ryzen AI Max+ 395?: No. MLX Node and MLX Harness run on Apple Silicon Macs only, with Apple’s MLX framework.

More comparisons

The M4 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.

The Ryzen AI Max+ 395’s bandwidth is worked out from AMD’s bus width and memory speed, as AMD doesn’t state it in GB/s. Ryzen AI Max+ 395 figures: AMD: Ryzen AI Max+ 395, Framework: Desktop specs, Framework: Desktop DIY configurator (32/64/128 GB).