Model benchmarks
Qwen3.8-27B-oQ2e-mtp local LLM performance
As of August 2026, Qwen3.8-27B-oQ2e-mtp runs at up to 46.3 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
27B
Peak speed
46.3 tok/s
Average speed
44.0 tok/s
Min memory
12.1 GB
Max context
262,144 tokens
Avg output / run
35,136 tokens
Avg runtime / run
23m 20s
Avg quality
10.3
Benchmark runs
3
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 3 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 | 4.2 | 10.3 | 16.2 |
| Agent Workflow | 10.4 | 28.0 | 52.5 |
| Code Generation | 0.0 | 0.0 | 0.0 |
| Role Play & Narrative | 3.1 | 7.7 | 11.8 |
| Research & Analysis | 2.2 | 5.6 | 10.8 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.8-27B-oQ2e-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 | — | 46.3 tok/s | 44.0 tok/s | 12.1 GB | 262,144 tokens | 10.3 | 3 |
Frequently asked questions
- Is Qwen3.8-27B-oQ2e-mtp good for coding?
- In our benchmarks, Qwen3.8-27B-oQ2e-mtp scores 0.0/100 for coding. It runs at about 44.0 tok/s, so if you want more speed, Gemma4:E2B/QAT-MTP@131K is faster (~303.9 tok/s) and still scores well for coding (66.9/100).
- Is Qwen3.8-27B-oQ2e-mtp good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.8-27B-oQ2e-mtp scores 28.0/100 for agentic workflows. It runs at about 44.0 tok/s, so if you want more speed, Gemma4:E2B/QAT-MTP@131K is faster (~303.9 tok/s) and still scores well for agentic workflows (71.7/100).
- How fast is Qwen3.8-27B-oQ2e-mtp for local inference?
- Across 3 community benchmark runs, Qwen3.8-27B-oQ2e-mtp reaches up to 46.3 tok/s and averages 44.0 tok/s, with the fastest results on Apple M5 Max.
- How much memory does Qwen3.8-27B-oQ2e-mtp need?
- The leanest observed configuration used about 12.1 GB of memory.
- Which tools have been used to run Qwen3.8-27B-oQ2e-mtp?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.