Model benchmarks
qwen3.8-flash-next-unsloth-ud-q4_k_xl local LLM performance
As of October 2026, qwen3.8-flash-next-unsloth-ud-q4_k_xl runs at up to 26.8 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
26.8 tok/s
Average speed
25.8 tok/s
Avg PP
87.7 tok/s
Min memory
65.1 GB
Max context
128,000 tokens
Avg output / run
67,900 tokens
Avg runtime / run
47m 23s
Avg quality
82.2
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 | 81.6 | 82.2 | 82.9 |
| Agent Workflow | 90.8 | 90.9 | 91.0 |
| Code Generation | 50.9 | 56.8 | 62.6 |
| Role Play & Narrative | 91.7 | 94.0 | 96.4 |
| Research & Analysis | 86.2 | 87.3 | 88.4 |
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.8-flash-next-unsloth-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 |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 3090 | Strata | Q4_K | 26.8 tok/s | 25.8 tok/s | 65.1 GB | 128,000 tokens | 82.2 | 2 |
Benchmark runs
All 2 qwen3.8-flash-next-unsloth-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-unsloth-ud-q4_k_xl good for coding?
- In our benchmarks, qwen3.8-flash-next-unsloth-ud-q4_k_xl scores 56.8/100 for coding. It runs at about 25.8 tok/s, so if you want more speed, JonathanColetti-Qwen3.8-27B-Uncensored-GGUF-Q5_K_M is faster (~40.4 tok/s) and still scores well for coding (84.9/100).
- Is qwen3.8-flash-next-unsloth-ud-q4_k_xl good for agentic (tool-using) tasks?
- In our benchmarks, qwen3.8-flash-next-unsloth-ud-q4_k_xl scores 90.9/100 for agentic workflows. It runs at about 25.8 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-unsloth-ud-q4_k_xl for local inference?
- Across 2 community benchmark runs, qwen3.8-flash-next-unsloth-ud-q4_k_xl reaches up to 26.8 tok/s and averages 25.8 tok/s, with the fastest results on NVIDIA GeForce RTX 3090.
- How much memory does qwen3.8-flash-next-unsloth-ud-q4_k_xl need?
- The leanest observed configuration used about 65.1 GB of memory (quantizations tested: Q4_K).
- Which tools have been used to run qwen3.8-flash-next-unsloth-ud-q4_k_xl?
- Benchmarks were submitted using Strata. Results are community-contributed and updated as new runs arrive.