Yes — Qwen 3 32B (32B) runs at 22 tok/s on M4 Max with 64 GB RAM using Q4_K_M quantization via MLX. First token latency is 1.4s. Alibaba's 32B dense model for Macs with 32 GB+ RAM.
Want to run Qwen 3 32B faster — or step up to bigger models? Find your Mac →The LLMCheck index estimates Qwen 3 32B on M4 Max using our published methodology: Q4_K_M quantization, memory-bandwidth scaling, and cross-referenced third-party benchmarks where available. Figures are transparent estimates — own this config? Submit a real benchmark →
| Metric | Value |
|---|---|
| Tokens per second | 22 tok/s |
| Time to first token | 1.4s |
| Quantization | Q4_K_M |
| Minimum RAM | 64 GB |
| Recommended engine | MLX |
| Parameters | 32B |
| Benchmark date | 2026-02 |
Q4_K_M 32B MLX M4 Max
The recommended engine for Qwen 3 32B on M4 Max is MLX. Install with pip and pull the model:
Alternatively, you can use Ollama for a simpler setup:
| Chip | Speed | First Token | Min RAM | Engine |
|---|---|---|---|---|
| M4 Ultra | 32 tok/s | 1.0s | 192 GB | Ollama |
| M5 Max | 28 tok/s | 1.1s | 128 GB | Ollama |
| M4 Pro | 15 tok/s | 1.8s | 32 GB | Ollama |
To run Qwen 3 32B on M4 Max you need:
Qwen 3 32B needs about 64 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:
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See how Qwen 3 32B stacks up against other models on your specific Mac hardware.
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