Yes — Qwen 3 32B (32B) runs at 15 tok/s on M4 Pro with 32 GB RAM using Q4_K_M quantization via Ollama. First token latency is 1.8s. Alibaba's 32B dense model for Macs with 32 GB+ RAM.
LLMCheck measured Qwen 3 32B on M4 Pro using the standard methodology: Q4_K_M quantization, 256-token input, 512-token output, 3 runs averaged on a freshly-booted system.
| Metric | Value |
|---|---|
| Tokens per second | 15 tok/s |
| Time to first token | 1.8s |
| Quantization | Q4_K_M |
| Minimum RAM | 32 GB |
| Recommended engine | Ollama |
| Parameters | 32B |
| Benchmark date | 2026-01 |
Q4_K_M 32B Ollama M4 Pro
The recommended engine for Qwen 3 32B on M4 Pro is Ollama. Install Ollama, then pull the model:
Ollama handles quantization automatically — it will download the Q4_K_M variant (~32 GB) and start an interactive chat session.
| 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 Max | 22 tok/s | 1.4s | 64 GB | MLX |
To run Qwen 3 32B on M4 Pro you need:
See how Qwen 3 32B stacks up against other models on your specific Mac hardware.
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