Model benchmarks
Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1 local LLM performance
As of September 2026, Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1 runs at up to 56.2 tok/s for local inference (best of 7 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
56.2 tok/s
Average speed
52.0 tok/s
Avg PP
378.2 tok/s
Min memory
78.7 GB
Max context
131.072 tokens
Avg output / run
60.767 tokens
Avg runtime / run
19m 20s
Avg quality
81.3
Benchmark runs
7
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 7 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 | 69.2 | 81.3 | 86.4 |
| Agent Workflow | 26.6 | 77.5 | 92.4 |
| Code Generation | 55.2 | 66.1 | 73.2 |
| Role Play & Narrative | 87.2 | 91.5 | 94.5 |
| Research & Analysis | 88.4 | 90.0 | 92.0 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1 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 M4 Max | oMLX | — | 56.2 tok/s | 52.0 tok/s | 78.7 GB | 131.072 tokens | 81.3 | 7 |
Benchmark runs
All 7 Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1 good for coding?
- In our benchmarks, Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1 scores 66.1/100 for coding. It runs at about 52.0 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-Flash-Next-oQ4e-mtp-BF16PLE-v1 good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1 scores 77.5/100 for agentic workflows. It runs at about 52.0 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-Flash-Next-oQ4e-mtp-BF16PLE-v1 for local inference?
- Across 7 community benchmark runs, Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1 reaches up to 56.2 tok/s and averages 52.0 tok/s, with the fastest results on Apple M4 Max.
- How much memory does Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1 need?
- The leanest observed configuration used about 78.7 GB of memory.
- Which tools have been used to run Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.