Apple · M3 Max · Laptop
Best AI Models for MacBook Pro 14" M3 Max (48 GB)
Runs 27–35B models well; 70B only just fits in 44.5 GB, and 120B MoE doesn't fit.
| # | Model | Speed | Score |
|---|---|---|---|
| 1 | Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB | 16.5 tok/s | |
| 2 | Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB | 16.5 tok/s | |
| 3 | Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB | 64.2 tok/s | |
| 4 | GPT OSS 20BOpenAI Q4_K_M · 13.1 GB | 72.3 tok/s | |
| 5 | Q4_K_M · 19.3 GB | 64.8 tok/s |
| # | Model | Speed | Score |
|---|---|---|---|
| 1 | Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB | 16.5 tok/s | |
| 2 | Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB | 55.2 tok/s | |
| 3 | Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB | 64.2 tok/s | |
| 4 | GPT OSS 20BOpenAI Q4_K_M · 13.1 GB | 72.3 tok/s | |
| 5 | Q4_K_M · 19.3 GB | 64.8 tok/s |
| # | Model | Speed | Score |
|---|---|---|---|
| 1 | Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB | 16.5 tok/s | |
| 2 | Qwen3.5 27BAlibaba Q4_K_M · 17.9 GB | 16.5 tok/s | |
| 3 | Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB | 64.2 tok/s | |
| 4 | GPT OSS 20BOpenAI Q4_K_M · 13.1 GB | 72.3 tok/s | |
| 5 | Q4_K_M · 19.3 GB | 64.8 tok/s |
| # | Model | Speed | Score |
|---|---|---|---|
| 1 | Qwen3.8 27BAlibabaHow to run → Q4_K_M · 17.9 GB | 16.5 tok/s | |
| 2 | Qwen3.6 27BAlibaba Q4_K_M · 17.9 GB | 16.5 tok/s | |
| 3 | Qwen3.6 35B A3BAlibaba Q4_K_M · 22.0 GB | 55.2 tok/s | |
| 4 | Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB | 64.2 tok/s | overall |
| 5 | Q4_K_M · 19.3 GB | 64.8 tok/s |
| # | Model | Speed ↓ | Score |
|---|---|---|---|
| 1 | GPT OSS 20BOpenAIHow to run → Q4_K_M · 13.1 GB | 72.3 tok/s | |
| 2 | Q4_K_M · 19.3 GB | 64.8 tok/s | |
| 3 | Gemma 4 26B A4B ITGoogle Q4_K_M · 16.5 GB | 64.2 tok/s | |
| 4 | Qwen3 30B A3B Thinking 2507Alibaba Q4_K_M · 19.4 GB | 59.6 tok/s | |
| 5 | Qwen3 30B A3B Instruct 2507Alibaba Q4_K_M · 19.4 GB | 59.6 tok/s |
The MacBook Pro 14" M3 Max is a mid-range 48 GB laptop: it runs 27–35B models well. Among 48 GB machines, only the M5 Max and M4 Max write faster. macOS keeps about 3.5 GB, leaving 44.5 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 40 s before the first word on Qwen3.8 27B. M3 Max generation, released 2023; the newer M4 Max writes 16% faster with 1.2× the compute.
MacBook Pro 14" M3 Max strengths and weaknesses
Strengths
- Runs 35B MoE models: Qwen3.6 35B A3B at 55.2 tok/s in 22 GB
- Room for long context: Qwen3.8 27B at Q4 uses 17.9 GB, leaving 26.6 GB free
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 7.2 tok/s
- Slow prompt reading: A 32K-token prompt on Qwen3.8 27B waits 5.3 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 Qwen3.6 35B A3B.
Output speed depends on memory bandwidth (410 GB/s). Grey rows need more than the 44.5 GB available.
- 9BQwen3.5 9B · Q4_K_M · 6.6 GB45.1tok/s
- 14BQwen3 14B · Q4_K_M · 11.9 GB30.2tok/s
- 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB16.5tok/s
- 35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB55.2tok/s
- 7.2tok/s
- 120B MoEGPT OSS 120B · does not fitneeds 70.8 GB
Estimated speeds: Q4_K_M, 4K context, one user. How we estimate
Max generations: writing vs compute
M1 Max → M5 MaxWriting speed follows memory bandwidth and barely moved: 54.5 to 67.8 tok/s since the M1 Max. Compute, which sets how fast prompts are read, grew 4.4×. Indexed to the M1 Max; speeds on Qwen3.6 35B A3B, same 32 GB.
All 1152 models on the MacBook Pro 14" M3 Max
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 |
|---|---|---|---|---|---|---|
DeepSeek R1 Distill Llama 70BChatReasoningFunctions | IQ4_XS | 43.6 GB | 7.4 t/s | 131K | D17, Barely runs | |
Granite 3.0 2B InstructChatFunctions | Q4_K_M | 2.2 GB | 139.9 t/s | 4K | S96, Runs great | |
| Q4_K_M | 21.5 GB | 29.3 t/s | 16K | A70, Runs well | ||
Qwen3 8B BaseChat | Q4_K_M | 7.6 GB | 51.9 t/s | 33K | A81, Runs well | |
Qwen3 0.6B BaseChat | Q4_K_M | 1.6 GB | 367.6 t/s | 33K | S100, Runs great | |
II Medical 8BChat | Q4_K_M | 7.6 GB | 51.9 t/s | 41K | A81, Runs well | |
OLMoE 1B 7B 0924Chat | Q4_K_M | 5.0 GB | 160.0 t/s | 4K | S97, Runs great | |
| Q4_K_M | 0.3 GB | 28672.0 t/s | — | S100, Runs great | ||
| Q4_K_M | 0.4 GB | 955.7 t/s | 8K | S100, Runs great | ||
DeepSeek v2 LiteChat | Q4_K_M | 10.2 GB | 87.6 t/s | 164K | S89, Runs great | |
Gemma 3 270MChat | Q4_K_M | 1.2 GB | 1592.9 t/s | — | S100, Runs great | |
Kumru 2B BaseChat | Q4_K_M | 2.2 GB | 155.8 t/s | 8K | S97, Runs great | |
OpenCodeReasoning Nemotron 1.1 32BChatCodeReasoning | Q4_K_M | 24.3 GB | 14.0 t/s | 66K | B53, Decent | |
Qwen3 1.7B BaseChat | Q4_K_M | 3.2 GB | 182.6 t/s | 33K | S99, Runs great | |
Medgemma 4B ITVision | Q4_K_M | 5 GB | 101.0 t/s | — | S92, Runs great |
Specs
- Chip
- M3 Max
- CPU cores
- 16
- GPU cores
- 40
- Unified memory
- 48 GB
- For models
- 44.5 GB (macOS keeps 3.5 GB)
- Memory bandwidth
- 409.6 GB/s
- FP16 (dense)
- 28.7 TFLOPS
- Neural Engine
- 18 TOPS
- Released
- 2023-11-07
MacBook Pro 14" M3 Max FAQ
How much memory is available for AI on the MacBook Pro 14" M3 Max (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 14" M3 Max (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 55.2 tok/s.
Can the MacBook Pro 14" M3 Max (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 14" M3 Max (48 GB) take to read a long prompt?
On Qwen3.8 27B, about 40 s for a 4K-token prompt and 5.3 min for a 32K-token document before the first word appears.
Is renting a GPU cheaper than buying the MacBook Pro 14" M3 Max?
An RTX A6000 (48 GB) rents from $0.40/hr.