Model benchmarks
qwen3.8-flash-next-huihui-ud-q4_k_xl local LLM performance
As of October 2026, qwen3.8-flash-next-huihui-ud-q4_k_xl runs at up to 35.6 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
35.6 tok/s
Average speed
34.1 tok/s
Avg PP
108.4 tok/s
Min memory
n/a
Max context
8,192 tokens
Avg output / run
10,661 tokens
Avg runtime / run
5m 40s
Avg quality
73.4
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 | 62.0 | 73.4 | 84.9 |
| Agent Workflow | 80.9 | 84.9 | 88.9 |
| Code Generation | 17.5 | 45.8 | 74.0 |
| Role Play & Narrative | 75.3 | 83.0 | 90.8 |
| Research & Analysis | 74.2 | 79.9 | 85.7 |
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.8-flash-next-huihui-ud-q4_k_xl has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon AI PRO R9700 | Strata | Q4_K | 35.6 tok/s | 34.1 tok/s | n/a | 8,192 tokens | 73.4 | 2 |
Benchmark runs
All 2 qwen3.8-flash-next-huihui-ud-q4_k_xl runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is qwen3.8-flash-next-huihui-ud-q4_k_xl good for coding?
- In our benchmarks, qwen3.8-flash-next-huihui-ud-q4_k_xl scores 45.8/100 for coding. It runs at about 34.1 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-flash-next-huihui-ud-q4_k_xl good for agentic (tool-using) tasks?
- In our benchmarks, qwen3.8-flash-next-huihui-ud-q4_k_xl scores 84.9/100 for agentic workflows. It runs at about 34.1 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-huihui-ud-q4_k_xl for local inference?
- Across 2 community benchmark runs, qwen3.8-flash-next-huihui-ud-q4_k_xl reaches up to 35.6 tok/s and averages 34.1 tok/s, with the fastest results on AMD Radeon AI PRO R9700.
- Which tools have been used to run qwen3.8-flash-next-huihui-ud-q4_k_xl?
- Benchmarks were submitted using Strata. Results are community-contributed and updated as new runs arrive.