Model benchmarks

Qwen3.8-27B-IQ3_XXS local LLM performance

As of August 2026, Qwen3.8-27B-IQ3_XXS runs at up to 61.1 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

llama.cpp
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Model size

27B

Peak speed

61.1 tok/s

Average speed

59.6 tok/s

Min memory

13.2 GB

Max context

65,536 tokens

Avg output / run

16,510 tokens

Avg runtime / run

4m 35s

Avg quality

84.4

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.

TaskP5 (low)AvgP95 (high)
Overall83.384.485.4
Agent Workflow81.384.086.7
Code Generation70.275.981.6
Role Play & Narrative92.093.595.0
Research & Analysis83.984.084.2

Performance by hardware and tool

Every hardware/tool/quantization combination Qwen3.8-27B-IQ3_XXS has been benchmarked on, ranked by peak token generation speed. Last updated August 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900Mllama.cpp61.1 tok/s59.6 tok/s13.2 GB65,536 tokens84.42

Frequently asked questions

Is Qwen3.8-27B-IQ3_XXS good for coding?
In our benchmarks, Qwen3.8-27B-IQ3_XXS scores 75.9/100 for coding. It runs at about 59.6 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-MLX-oQ4e-MTP is faster (~123.6 tok/s) and still scores well for coding (76.5/100).
Is Qwen3.8-27B-IQ3_XXS good for agentic (tool-using) tasks?
In our benchmarks, Qwen3.8-27B-IQ3_XXS scores 84.0/100 for agentic workflows. It runs at about 59.6 tok/s, so if you want more speed, openai/gpt-oss-20b:2 is faster (~154.8 tok/s) and still scores well for agentic workflows (87.2/100).
How fast is Qwen3.8-27B-IQ3_XXS for local inference?
Across 2 community benchmark runs, Qwen3.8-27B-IQ3_XXS reaches up to 61.1 tok/s and averages 59.6 tok/s, with the fastest results on AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M.
How much memory does Qwen3.8-27B-IQ3_XXS need?
The leanest observed configuration used about 13.2 GB of memory.
Which tools have been used to run Qwen3.8-27B-IQ3_XXS?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.