M3 Max vs M3 Pro
Same generation, different tier. M3 Max is roughly 2× faster on 8B models — the largest within-generation gap in the Apple Silicon lineup.
The M3 generation has a wider Max/Pro performance gap than M4, driven by a larger difference in GPU core count and memory bandwidth. This makes the M3 Max vs M3 Pro decision more impactful than M4 Max vs M4 Pro for developers prioritizing inference speed.
Benchmark comparison — 4 shared models
Best published result for each model on each chip family. Higher tok/s is better. % column shows M3 Max gain over M3 Pro.
| Model | M3 Pro (best) | M3 Max (best) | Difference |
|---|---|---|---|
| Llama 3.2 1B Instruct Q4_K - Medium |
89.8 tok/s M3 Pro 18-core GPU, 36 GB |
149.0 tok/s M3 Max 40-core GPU, 48 GB |
+66% |
| Llama 3.1 8B Instruct Q4_K - Medium |
22.1 tok/s M3 Pro 18-core GPU, 36 GB |
45.8 tok/s M3 Max 40-core GPU, 128 GB |
+107% |
| Qwen 2.5 14B Instruct Q4_K - Medium |
12.1 tok/s M3 Pro 14-core GPU, 36 GB |
25.5 tok/s M3 Max 40-core GPU, 128 GB |
+111% |
| Llama 2 7B Q4_0 |
30.7 tok/s M3 Pro 18-core GPU, llama.cpp |
65.9 tok/s M3 Max 40-core GPU, llama.cpp |
+114% |
Data source: benchmarks.json. Reference run data from LocalScore community aggregation and llama.cpp community benchmarks.
Chip specs compared
| Spec | M3 Pro (18-core GPU) | M3 Max (40-core GPU) |
|---|---|---|
| GPU cores | 14 or 18 | 30 or 40 |
| Memory bandwidth | ~150 GB/s | ~300 GB/s |
| Max unified RAM | 36 GB | 128 GB |
| LLM inference sweet spot | 7B models (tight) | 7B–32B models |
| Can run 14B model at Q4? | Yes, but slowly (~12 tok/s) | Yes, at 25+ tok/s |
| Can run 32B models? | No (36 GB ceiling) | Yes (48 GB+ configs) |
The M3 Pro RAM ceiling of 36 GB is a significant limitation. A 14B Q8_0 model needs ~15 GB, which fits, but leaves limited headroom. At 32B Q4_K_M (~20 GB), you are near the ceiling with no room for OS overhead on a 36 GB machine.
Who should choose which
Choose M3 Pro if…
- You run 7B models for coding assistance
- Budget is constrained and you need a MacBook Pro
- You can live with 12–22 tok/s on 8B–14B models
- You are not planning to run 32B+ models
- Portability and battery life matter more than raw throughput
Choose M3 Max if…
- You want the best M3-generation throughput
- You run 14B+ models regularly
- You need the 48–128 GB RAM ceiling for larger models
- 2× faster inference justifies the cost difference
- You are building on M3 and don't want to upgrade to M4
Verdict
At 45.8 tok/s vs 22.1 tok/s on Llama 3.1 8B, M3 Max is not just incrementally better — it's a different class of experience. For developers running a local coding assistant all day, the difference between 22 and 46 tok/s determines whether responses feel instant or perceptibly slow. The RAM ceiling difference is equally significant: M3 Pro's 36 GB limits you to 14B Q8 or 32B Q4 at best, while M3 Max enables 70B inference at 128 GB. If you are buying an M3-generation Mac specifically for local LLMs, M3 Max is the strongly preferred choice.
Considering an upgrade? The M4 generation has closed this gap somewhat — M4 Max is only ~65% faster than M4 Pro (vs M3 Max's 2× advantage over M3 Pro). See M4 Max vs M4 Pro comparison.
Chip pages
Related comparisons
Data
benchmarks.json — full dataset · chips.json — chip summaries · benchmarks.csv — CSV export