Apple · M4 Pro · Laptop
Best AI Models for MacBook Pro 16" M4 Pro (48 GB)
Runs 14B and 35B MoE models well; dense 27–31B fits but is slow at 11 tok/s, and 70B only just fits in 44.5 GB.
| # | Model | Speed | Score |
|---|---|---|---|
| 1 | Qwen3.6 35B A3BAlibabaHow to run → Q4_K_M · 22.0 GB | 43.2 tok/s | |
| 2 | Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB | 49.1 tok/s | |
| 3 | Qwen3 30B A3B Thinking 2507Alibaba Q4_K_M · 19.4 GB | 49.1 tok/s | |
| 4 | GPT OSS 20BOpenAI Q4_K_M · 13.1 GB | 54.5 tok/s | |
| 5 | Q4_K_M · 19.3 GB | 55.7 tok/s |
| # | Model | Speed | Score |
|---|---|---|---|
| 1 | Qwen3.6 35B A3BAlibabaHow to run → Q4_K_M · 22.0 GB | 43.2 tok/s | |
| 2 | Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB | 49.1 tok/s | |
| 3 | GPT OSS 20BOpenAI Q4_K_M · 13.1 GB | 54.5 tok/s | |
| 4 | Q4_K_M · 7.9 GB | 36.1 tok/s | |
| 5 | Q4_K_M · 19.3 GB | 55.7 tok/s |
| # | Model | Speed | Score |
|---|---|---|---|
| 1 | Qwen3.6 35B A3BAlibabaHow to run → Q4_K_M · 22.0 GB | 43.2 tok/s | |
| 2 | Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB | 49.1 tok/s | |
| 3 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB | 30.0 tok/s | |
| 4 | GPT OSS 20BOpenAI Q4_K_M · 13.1 GB | 54.5 tok/s | |
| 5 | Q4_K_M · 19.3 GB | 55.7 tok/s |
| # | Model | Speed | Score |
|---|---|---|---|
| 1 | Qwen3.6 35B A3BAlibabaHow to run → Q4_K_M · 22.0 GB | 43.2 tok/s | |
| 2 | Qwen3.8 27BAlibaba Q4_K_M · 17.9 GB | 11.0 tok/s | |
| 3 | Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB | 11.0 tok/s | |
| 4 | Q4_K_M · 19.3 GB | 55.7 tok/s | |
| 5 | GLM 4.7 FlashZ.ai Q4_K_M · 19.9 GB | 40.5 tok/s |
| # | Model | Speed ↓ | Score |
|---|---|---|---|
| 1 | GPT OSS 20BOpenAIHow to run → Q4_K_M · 13.1 GB | 54.5 tok/s | |
| 2 | Q4_K_M · 19.3 GB | 55.7 tok/s | |
| 3 | Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB | 49.1 tok/s | |
| 4 | Qwen3 30B A3B Thinking 2507Alibaba Q4_K_M · 19.4 GB | 49.1 tok/s | |
| 5 | Qwen3 30B A3B Instruct 2507Alibaba Q4_K_M · 19.4 GB | 49.1 tok/s |
The MacBook Pro 16" M4 Pro is a 48 GB laptop with more memory than speed: it runs 14B and 35B MoE models well. macOS keeps about 3.5 GB, leaving 44.5 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 11 s before the first word on Qwen3.6 35B A3B. M4 Pro generation, released 2024; the newer M5 Pro writes 13% faster with 1.9× the compute.
MacBook Pro 16" M4 Pro strengths and weaknesses
Strengths
- Runs 35B MoE models: Qwen3.6 35B A3B at 43.2 tok/s in 22 GB
Weaknesses
- 120B MoE models don't fit: GPT OSS 120B needs 70.8 GB at Q4 vs 44.5 GB usable here
- Slow on large dense models: Llama 3.3 70B Instruct at 4.8 tok/s, Qwen3.8 27B at 11.0 tok/s
- Slow prompt reading: A 32K-token prompt on Qwen3.6 35B A3B waits 1.5 min for the first token
- No CUDA: vLLM, AWQ, GPTQ and FP8 builds don't run; use GGUF or MLX
Memory for models
44.5 GB of 48 GB120B MoE models need 70.8 GB at Q4, more than the 44.5 GB available.
Other memory sizes of the same machine first, then machines and GPUs people weigh against it, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.
Output speed depends on memory bandwidth (273 GB/s). Grey rows need more than the 44.5 GB available.
- 9BQwen3.5 9B · Q4_K_M · 6.6 GB30.0tok/s
- 14BQwen3 14B · Q4_K_M · 11.9 GB20.1tok/s
- 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB11.0tok/s
- 35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB43.2tok/s
- 4.8tok/s
- 120B MoEGPT OSS 120B · does not fitneeds 70.8 GB
Estimated speeds: Q4_K_M, 4K context, one user. How we estimate
Pro generations: writing vs compute
M1 Pro → M5 ProWriting speed follows memory bandwidth and barely moved: 22.0 to 33.8 tok/s since the M1 Pro. Compute, which sets how fast prompts are read, grew 3.1×. Indexed to the M1 Pro; speeds on Qwen3.5 9B, same 32 GB.
All 1152 models on the MacBook Pro 16" M4 Pro
Featured onlyBest quant that fits in 44.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works
| Model | Quant | VRAM | Speed | Context | Score | Fit |
|---|---|---|---|---|---|---|
Nemotron Cascade 8BChatReasoning | Q4_K_M | 7.5 GB | 35.4 t/s | 33K | A73, Runs well | |
LFM2.5 1.2B BaseChat | Q4_K_M | 1.2 GB | 178.6 t/s | 128K | S99, Runs great | |
CodeLlama 34B Instruct HFChatCode | Q4_K_M | 23.8 GB | 9.1 t/s | 16K | B47, Decent | |
| Q4_K_M | 6.2 GB | 35.5 t/s | 8K | A73, Runs well | ||
Gemma 3 270M ITChat | Q4_K_M | 1.2 GB | 1061.7 t/s | — | S100, Runs great | |
MiMo 7B BaseChat | Q4_K_M | 7.4 GB | 36.1 t/s | 33K | A73, Runs well | |
Mistral Small 4 119B 2603ChatFunctions | IQ2_XXS | 42.8 GB | 56.1 t/s | 1049K | B57, Decent | |
| Q4_K_M | 6.0 GB | 51.8 t/s | — | A81, Runs well | ||
| Q4_K_M | 0.8 GB | 329.5 t/s | 128K | S100, Runs great | ||
Vicuna 7B V1.5Chat | Q4_K_M | 6.6 GB | 34.3 t/s | 4K | A73, Runs well | |
MiniCPM MoE 8x2BChat | Q4_K_M | 11.4 GB | 32.8 t/s | 4K | A72, Runs well | |
| Q4_K_M | 24.6 GB | 50.1 t/s | — | A79, Runs well | ||
| Q4_K_M | 24.1 GB | 8.6 t/s | 524K | B46, Decent | ||
Tiny Starcoder PyChatCode | Q4_K_M | 0.5 GB | 1737.3 t/s | 8K | S100, Runs great | |
Ling 3.0 Flash VLVisionFunctions | IQ2_M | 43.2 GB | 52.1 t/s | 131K | B54, Decent |
Specs
- Chip
- M4 Pro
- CPU cores
- 14
- GPU cores
- 20
- Unified memory
- 48 GB
- For models
- 44.5 GB (macOS keeps 3.5 GB)
- Memory bandwidth
- 273 GB/s
- FP16 (dense)
- 17.2 TFLOPS
- Neural Engine
- 38 TOPS
- Released
- 2024-11-08
MacBook Pro 16" M4 Pro FAQ
How much memory is available for AI on the MacBook Pro 16" M4 Pro (48 GB)?
About 44.5 GB of the 48 GB. macOS keeps roughly 3.5 GB for itself and other apps.
What is the largest model the MacBook Pro 16" M4 Pro (48 GB) can run?
Qwen3.6 35B A3B (36.0B) at Q4_K_M uses 22.0 GB, 50% of the available memory, and runs at about 43.2 tok/s.
Can the MacBook Pro 16" M4 Pro (48 GB) run 120B MoE models?
No. GPT OSS 120B needs 70.8 GB at Q4, more than the 44.5 GB available.
How long does the MacBook Pro 16" M4 Pro (48 GB) take to read a long prompt?
On Qwen3.6 35B A3B, about 11 s for a 4K-token prompt and 1.5 min for a 32K-token document before the first word appears.
Is renting a GPU cheaper than buying the MacBook Pro 16" M4 Pro?
An A40 (48 GB) rents from $0.35/hr.