Model benchmarks
Qwen3.8-27B-oQ8-mtp local LLM performance
As of August 2026, Qwen3.8-27B-oQ8-mtp runs at up to 39.2 tok/s for local inference (best of 4 community benchmark runs across 1 GPU).
Model size
27B
Peak speed
39.2 tok/s
Average speed
35.6 tok/s
Min memory
32.6 GB
Max context
65,536 tokens
Avg runtime / run
12m 28s
Avg quality
77.7
Benchmark runs
4
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 4 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 | 73.6 | 77.7 | 81.4 |
| Agent Workflow | 58.2 | 67.4 | 74.3 |
| Code Generation | 72.2 | 77.6 | 83.9 |
| Role Play & Narrative | 67.4 | 84.9 | 95.5 |
| Research & Analysis | 79.2 | 81.0 | 83.2 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.8-27B-oQ8-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 | — | 39.2 tok/s | 35.6 tok/s | 32.6 GB | 65,536 tokens | 77.7 | 4 |
Benchmark runs
All 4 Qwen3.8-27B-oQ8-mtp runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Qwen3.8-27B-oQ8-mtp good for coding?
- In our benchmarks, Qwen3.8-27B-oQ8-mtp scores 77.6/100 for coding. It runs at about 35.6 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).
- Is Qwen3.8-27B-oQ8-mtp good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.8-27B-oQ8-mtp scores 67.4/100 for agentic workflows. It runs at about 35.6 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-oQ8-mtp for local inference?
- Across 4 community benchmark runs, Qwen3.8-27B-oQ8-mtp reaches up to 39.2 tok/s and averages 35.6 tok/s, with the fastest results on Apple M5 Max.
- How much memory does Qwen3.8-27B-oQ8-mtp need?
- The leanest observed configuration used about 32.6 GB of memory.
- Which tools have been used to run Qwen3.8-27B-oQ8-mtp?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.