Model benchmarks
Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp local LLM performance
As of September 2026, Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp runs at up to 49.9 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
4B
Peak speed
49.9 tok/s
Average speed
48.7 tok/s
Avg prefill
372.4 tok/s
Min memory
81.8 GB
Max context
262,144 tokens
Avg output / run
28,961 tokens
Avg runtime / run
9m 56s
Avg quality
81.7
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 | 75.9 | 81.7 | 86.7 |
| Agent Workflow | 82.9 | 86.2 | 91.5 |
| Code Generation | 59.0 | 69.0 | 75.9 |
| Role Play & Narrative | 77.9 | 85.1 | 93.0 |
| Research & Analysis | 83.4 | 86.6 | 88.5 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp 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 | — | 49.9 tok/s | 48.7 tok/s | 81.8 GB | 262,144 tokens | 81.7 | 3 |
Frequently asked questions
- Is Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp good for coding?
- In our benchmarks, Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp scores 69.0/100 for coding. It runs at about 48.7 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-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp scores 86.3/100 for agentic workflows. It runs at about 48.7 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-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp for local inference?
- Across 3 community benchmark runs, Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp reaches up to 49.9 tok/s and averages 48.7 tok/s, with the fastest results on Apple M4 Max.
- How much memory does Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp need?
- The leanest observed configuration used about 81.8 GB of memory.
- Which tools have been used to run Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.