Apple M4 Pro (24GB) vs Apple M3 Pro (18GB)
Side-by-side local AI comparison — VRAM, memory bandwidth, model compatibility, and estimated tokens per second across 70 open-weight models.
Quick verdict
Apple M4 Pro (24GB) wins for local AI inference. It has 6 GB more VRAM and 82% more memory bandwidth, runs 42 models natively (vs 39), and exclusively fits 3 models the other cannot.
Specs comparison
| Spec | Apple M4 Pro (24GB) | Apple M3 Pro (18GB) |
|---|---|---|
| VRAM | 24 GB unified | 18 GB unified |
| Memory type | LPDDR5X | LPDDR5 |
| Bandwidth | 273 GB/s(+82%) | 150 GB/s |
| CPU cores | 14 (10P + 4E) | 12 (6P + 6E) |
| Architecture | Apple M4 Pro | Apple M3 Pro |
| Backend | METAL | METAL |
| Tier | Laptop | Laptop |
| Released | 2024 | 2023 |
| Models (native) | 42 | 39 |
Estimated tokens per second
Computed from memory bandwidth and model active-parameter weight. Assumes model fits natively in VRAM.
| Model | Apple M4 Pro (24GB) | Apple M3 Pro (18GB) | Delta |
|---|---|---|---|
| Llama 3.3 70B Instruct(70B) | — | — | — |
| Qwen 3.6 27B(27B) | 20.2 t/s(Q4_K_M) | 13.9 t/s(Q3_K_M) | +45% |
| Llama 3.1 8B Instruct(8B) | 17.1 t/s(FP16) | 18.8 t/s(Q8) | -9% |
| Qwen 2.5 7B Instruct(7.6B) | 18 t/s(FP16) | 19.7 t/s(Q8) | -9% |
Delta is Apple M4 Pro (24GB) relative to Apple M3 Pro (18GB).
Only Apple M4 Pro (24GB) can run(3)
Only Apple M3 Pro (18GB) can run(0)
No exclusive models — Apple M4 Pro (24GB) can run everything Apple M3 Pro (18GB) can.
Both run natively(39)
These models fit in VRAM on both GPUs. Bandwidth determines which runs them faster.
- Qwen 3.5 35B-A3B (MoE)250.3 t/svs183.3 t/s
- Yi 1.5 34B Chat19.8 t/svs14.5 t/s
- Qwen3 32B16.6 t/svs15.2 t/s
- Qwen 2.5 32B Instruct21 t/svs15.4 t/s
- Qwen 2.5 Coder 32B Instruct21 t/svs15.4 t/s
- DeepSeek R1 Distill Qwen 32B21 t/svs15.4 t/s
- Nemotron 3 Nano 30B200.2 t/svs183.3 t/s
- Qwen3 30B-A3B (MoE)200.2 t/svs183.3 t/s
- Gemma 2 27B Instruct20.1 t/svs18.4 t/s
- Gemma 3 27B Instruct20.2 t/svs13.9 t/s
- Qwen 3.6 27B20.2 t/svs13.9 t/s
- Gemma 4 26B (MoE)126.4 t/svs108.6 t/s
- Mistral Small 3.1 24B Instruct18.2 t/svs15.6 t/s
- Mistral Small 22B19.7 t/svs16.9 t/s
- GPT-OSS 20B100.1 t/svs82.5 t/s
- Qwen3 14B18.4 t/svs13.5 t/s
- +23 more on both
Which should you choose?
Choose Apple M4 Pro (24GB) if:
- • You need to run larger models (>18 GB VRAM)
- • Faster token generation is the priority
- • You want the newer architecture and longer driver support lifecycle
Choose Apple M3 Pro (18GB) if:
Frequently asked questions
- Which is better for local AI, the Apple M4 Pro (24GB) or Apple M3 Pro (18GB)?
- For local AI inference, the Apple M4 Pro (24GB) has the edge. It offers 24 GB VRAM (vs 18 GB) and 273 GB/s bandwidth (vs 150 GB/s), letting it run 42 models natively in VRAM vs 39 for its rival.
- How much VRAM does the Apple M4 Pro (24GB) have vs the Apple M3 Pro (18GB)?
- The Apple M4 Pro (24GB) has 24 GB of LPDDR5X at 273 GB/s. The Apple M3 Pro (18GB) has 18 GB of LPDDR5 at 150 GB/s. The Apple M4 Pro (24GB) has 6 GB more VRAM, allowing it to run 3 models the Apple M3 Pro (18GB) cannot fit natively.
- Can the Apple M4 Pro (24GB) run Llama 3.3 70B?
- The Apple M4 Pro (24GB) does not have enough VRAM to run Llama 3.3 70B.
- Can the Apple M3 Pro (18GB) run Llama 3.3 70B?
- The Apple M3 Pro (18GB) does not have enough VRAM to run Llama 3.3 70B.
- What is the difference between the Apple M4 Pro (24GB) and Apple M3 Pro (18GB) for AI?
- The key difference for AI inference is VRAM and memory bandwidth. The Apple M4 Pro (24GB) has 24 GB VRAM at 273 GB/s (METAL backend). The Apple M3 Pro (18GB) has 18 GB VRAM at 150 GB/s (METAL backend). VRAM determines which models fit; bandwidth determines tokens per second. The Apple M4 Pro (24GB) runs 42 models natively vs 39 for the Apple M3 Pro (18GB).