Model benchmarks
Qwen3.8-27B-MTPLX-Optimized-Quality local LLM performance
As of September 2026, Qwen3.8-27B-MTPLX-Optimized-Quality runs at up to 35.8 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
27B
Peak speed
35.8 tok/s
Average speed
34.3 tok/s
Avg prefill
406.5 tok/s
Min memory
32.7 GB
Max context
262,144 tokens
Avg output / run
83,365 tokens
Avg runtime / run
41m 1s
Avg quality
89.1
Benchmark runs
2
GPUs tested
1
Quality by task
Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 2 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 88.9 | 89.1 | 89.3 |
| Agent Workflow | 90.8 | 90.9 | 91.0 |
| Code Generation | 80.3 | 82.5 | 84.8 |
| Role Play & Narrative | 93.5 | 94.9 | 96.2 |
| Research & Analysis | 87.8 | 88.1 | 88.5 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.8-27B-MTPLX-Optimized-Quality has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | oMLX | — | 35.8 tok/s | 34.3 tok/s | 32.7 GB | 262,144 tokens | 89.1 | 2 |
Frequently asked questions
- Is Qwen3.8-27B-MTPLX-Optimized-Quality good for coding?
- In our benchmarks, Qwen3.8-27B-MTPLX-Optimized-Quality scores 82.5/100 for coding. It runs at about 34.3 tok/s, so if you want more speed, unsloth/Qwen3.8-27B-GGUF:IQ3_S is faster (~104.3 tok/s) and still scores well for coding (83.0/100).
- Is Qwen3.8-27B-MTPLX-Optimized-Quality good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.8-27B-MTPLX-Optimized-Quality scores 90.9/100 for agentic workflows. It runs at about 34.3 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).
- How fast is Qwen3.8-27B-MTPLX-Optimized-Quality for local inference?
- Across 2 community benchmark runs, Qwen3.8-27B-MTPLX-Optimized-Quality reaches up to 35.8 tok/s and averages 34.3 tok/s, with the fastest results on Apple M5 Max.
- How much memory does Qwen3.8-27B-MTPLX-Optimized-Quality need?
- The leanest observed configuration used about 32.7 GB of memory.
- Which tools have been used to run Qwen3.8-27B-MTPLX-Optimized-Quality?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.