Model benchmarks
Qwen3-Coder-30B-A3B-Instruct-MLX-8bit local LLM performance
As of August 2026, Qwen3-Coder-30B-A3B-Instruct-MLX-8bit runs at up to 90.0 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
oMLX
Model size
30B
Peak speed
90.0 tok/s
Average speed
89.8 tok/s
Min memory
32.1 GB
Max context
4,500 tokens
Best quality
67.7
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3-Coder-30B-A3B-Instruct-MLX-8bit has been benchmarked on, ranked by peak token generation speed. Last updated August 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | oMLX | — | 90.0 tok/s | 89.8 tok/s | 32.1 GB | 4,500 tokens | 49.9 | 2 |
Frequently asked questions
- How fast is Qwen3-Coder-30B-A3B-Instruct-MLX-8bit for local inference?
- Across 2 community benchmark runs, Qwen3-Coder-30B-A3B-Instruct-MLX-8bit reaches up to 90.0 tok/s and averages 89.8 tok/s, with the fastest results on Apple M5 Max.
- How much memory does Qwen3-Coder-30B-A3B-Instruct-MLX-8bit need?
- The leanest observed configuration used about 32.1 GB of memory.
- Which tools have been used to run Qwen3-Coder-30B-A3B-Instruct-MLX-8bit?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.