Model benchmarks

qwen3.8-flash-next-unsloth-ud-iq4_xs-v31 local LLM performance

As of November 2026, qwen3.8-flash-next-unsloth-ud-iq4_xs-v31 runs at up to 64.6 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).

Strata
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Model size

Unknown

Peak speed

64.6 tok/s

Average speed

62.9 tok/s

Avg PP

247.6 tok/s

Min memory

107.8 GB

Max context

262,144 tokens

Avg output / run

64,710 tokens

Avg runtime / run

18m 5s

Avg quality

85.1

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.

TaskP5 (low)AvgP95 (high)
Overall83.485.186.2
Agent Workflow90.590.891.2
Code Generation70.573.475.5
Role Play & Narrative88.490.292.8
Research & Analysis83.085.989.5

Performance by hardware and tool

Every hardware/tool/quantization combination qwen3.8-flash-next-unsloth-ud-iq4_xs-v31 has been benchmarked on, ranked by peak token generation speed. Last updated November 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 7900 XTXStrata—64.6 tok/s62.9 tok/s107.8 GB262,144 tokens85.13

Benchmark runs

All 3 qwen3.8-flash-next-unsloth-ud-iq4_xs-v31 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-iq4_xs-v31 good for coding?
In our benchmarks, qwen3.8-flash-next-unsloth-ud-iq4_xs-v31 scores 73.4/100 for coding. It runs at about 62.9 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-unsloth-ud-iq4_xs-v31 good for agentic (tool-using) tasks?
In our benchmarks, qwen3.8-flash-next-unsloth-ud-iq4_xs-v31 scores 90.8/100 for agentic workflows. It runs at about 62.9 tok/s, so if you want more speed, Qwen3.8-Flash-Next-oQ3.5e-mtp is faster (~98.5 tok/s) and still scores well for agentic workflows (92.5/100).
How fast is qwen3.8-flash-next-unsloth-ud-iq4_xs-v31 for local inference?
Across 3 community benchmark runs, qwen3.8-flash-next-unsloth-ud-iq4_xs-v31 reaches up to 64.6 tok/s and averages 62.9 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
How much memory does qwen3.8-flash-next-unsloth-ud-iq4_xs-v31 need?
The leanest observed configuration used about 107.8 GB of memory.
Which tools have been used to run qwen3.8-flash-next-unsloth-ud-iq4_xs-v31?
Benchmarks were submitted using Strata. Results are community-contributed and updated as new runs arrive.