Model benchmarks
Qwen3.6-27B-MLX-4bit local LLM performance
As of July 2026, Qwen3.6-27B-MLX-4bit runs at up to 22.3 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
oMLX
Model size
27B
Peak speed
22.3 tok/s
Average speed
15.3 tok/s
Min memory
n/a
Max context
6,644 tokens
Best quality
90.4
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.6-27B-MLX-4bit has been benchmarked on, ranked by peak token generation speed. Last updated July 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | oMLX | — | 22.3 tok/s | 15.3 tok/s | n/a | 6,644 tokens | 83.1 | 2 |
Frequently asked questions
- How fast is Qwen3.6-27B-MLX-4bit for local inference?
- Across 2 community benchmark runs, Qwen3.6-27B-MLX-4bit reaches up to 22.3 tok/s and averages 15.3 tok/s, with the fastest results on Apple M5 Max.
- How much memory does Qwen3.6-27B-MLX-4bit need?
- The leanest observed configuration used about n/a of memory.
- Which tools have been used to run Qwen3.6-27B-MLX-4bit?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.