Model benchmarks
Qwen3.8-27B-oQ8e-mtp local LLM performance
As of August 2026, Qwen3.8-27B-oQ8e-mtp runs at up to 32.3 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
oMLX
Model size
27B
Peak speed
32.3 tok/s
Average speed
26.4 tok/s
Min memory
32.9 GB
Max context
13,452 tokens
Best quality
92.8
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.8-27B-oQ8e-mtp 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 | — | 32.3 tok/s | 26.4 tok/s | 32.9 GB | 13,452 tokens | 81.3 | 2 |
Frequently asked questions
- How fast is Qwen3.8-27B-oQ8e-mtp for local inference?
- Across 2 community benchmark runs, Qwen3.8-27B-oQ8e-mtp reaches up to 32.3 tok/s and averages 26.4 tok/s, with the fastest results on Apple M5 Max.
- How much memory does Qwen3.8-27B-oQ8e-mtp need?
- The leanest observed configuration used about 32.9 GB of memory.
- Which tools have been used to run Qwen3.8-27B-oQ8e-mtp?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.