QwenQwen3-30B-A3B on Apple M4 Max (128GB Unified)
M4 Max (128GB Unified) runs Qwen3-30B-A3B at Q8_0 — 17 tok/s. Usable on 128 GB VRAM — see full quantization options below.
Model Size
30B
Device VRAM
128 GB
Bandwidth
546 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-30B-A3B on Apple M4 Max (128GB Unified) at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 17 tok/s | 700ms | ✓ Yes | Acceptable | estimated |
Notes
Q8_0
Estimated from qwq-32b benchmarks. MoE architecture improves throughput vs. dense equivalent.
About Qwen3-30B-A3B
Qwen3-30B-A3B (30B) is a chat, coding, ai coding, reasoning, multi-purpose model. Mixture-of-Experts architecture with ~3B active parameters per token and ~30B total; inference still loads the full expert pool for typical local stacks, so VRAM tracks total model size while compute per token stays efficient. High efficiency for its quality tier. Apache 2.0; 32K default and 128K max context.
View all Qwen3-30B-A3B hardware options →About Apple M4 Max (128GB Unified)
Apple M4 Max (128GB Unified) has 128 GB at 546 GB/s. Available in MacBook Pro 16", Mac Studio.
See all models Apple M4 Max (128GB Unified) can run →Estimate method: Estimated from comparable model benchmarks. Reference hardware source: github.com (2026-03-14)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.