M2 Max vs M3 Max
One generation apart — but the real comparison is GPU core count. M3 Max 40-core matches M2 Max 38-core; M3 Max 30-core is slower.
The M2 Max and M3 Max span the same product tier (MacBook Pro 16" and Mac Studio), but each generation ships with two GPU config options: 30/38-core for M2 Max, and 30/40-core for M3 Max. This creates an unusual situation where generation comparison depends heavily on which config you're looking at.
M2 Max 38-core vs M3 Max 40-core (top configs)
Best published result for each model. Q4_K Medium. Higher tok/s is better.
| Model | M2 Max 38-core (best) | M3 Max 40-core (best) | Difference |
|---|---|---|---|
| Llama 3.2 1B Instruct Q4_K - Medium |
153.0 tok/s 38-core GPU, 96 GB |
148.9 tok/s 40-core GPU, 48 GB |
−3% |
| Llama 3.1 8B Instruct Q4_K - Medium |
46.4 tok/s 38-core GPU, 96 GB |
45.8 tok/s 40-core GPU, 128 GB |
+1% |
| Qwen 2.5 14B Instruct Q4_K - Medium |
25.2 tok/s 38-core GPU, 96 GB |
25.5 tok/s 40-core GPU, 128 GB |
+1% |
The top configs are essentially identical in LLM throughput. The M3 Max 40-core has a marginal edge on larger models; M2 Max 38-core barely leads on 8B. Within measurement noise.
M2 Max 38-core vs M3 Max 30-core (cross-config)
This is the comparison relevant to buyers: M2 Max top config vs M3 Max base config. The newer chip's base tier is slower.
| Model | M2 Max 38-core (best) | M3 Max 30-core (best) | Difference |
|---|---|---|---|
| Llama 3.2 1B Instruct Q4_K - Medium |
153.0 tok/s | 132.9 tok/s | M2 Max +15% |
| Llama 3.1 8B Instruct Q4_K - Medium |
46.4 tok/s | 37.7 tok/s | M2 Max +23% |
| Qwen 2.5 14B Instruct Q4_K - Medium |
25.2 tok/s | 20.8 tok/s | M2 Max +21% |
If comparing a used M2 Max 38-core MacBook Pro vs a new M3 Max 30-core MacBook Pro at similar price points, the M2 Max wins on LLM throughput by 15–23% — purely because of the GPU core count difference.
Chip specs compared
| Spec | M2 Max | M3 Max |
|---|---|---|
| GPU configs | 30-core or 38-core | 30-core or 40-core |
| Memory bandwidth | ~400 GB/s | ~400 GB/s |
| Max unified RAM | 96 GB | 128 GB |
| Process node | TSMC 5nm | TSMC 3nm |
| Largest model at Q4 | ~60B (fits in 96 GB) | ~80B+ (fits in 128 GB) |
| Llama 3.3 70B at Q4 | Marginal (needs ~42 GB) | Yes, comfortably |
The key differentiator is the RAM ceiling: 128 GB on M3 Max vs 96 GB on M2 Max. This matters if you want to run Llama 3.3 70B at higher quantizations, or run two models loaded simultaneously.
Verdict
For pure LLM throughput, the M2 Max 38-core and M3 Max 40-core are within 1–3% of each other — statistically equivalent. The M3 Max is worth upgrading to for three reasons: 128 GB RAM maximum (vs 96 GB), the newer 3nm process (better efficiency), and the ability to run 70B models at Q4 without compression. If you already own an M2 Max 38-core and primarily run 8B–14B models, the throughput gain from upgrading to M3 Max is negligible. Wait for M4 Max, which delivers a more meaningful jump.
Considering M4 Max? M4 Max vs M3 Max comparison → shows the larger performance gain from the M4 generation.
Chip pages
Related comparisons
Data
benchmarks.json — full dataset · chips.json — chip summaries · benchmarks.csv — CSV export