Model benchmarks

Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX local LLM performance

As of October 2026, Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX runs at up to 37.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

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Model size

27B

Peak speed

37.7 tok/s

Average speed

26.3 tok/s

Avg PP

144.3 tok/s

Min memory

16.3 GB

Max context

131,072 tokens

Avg output / run

61,765 tokens

Avg runtime / run

29m 39s

Avg quality

63.5

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)
Overall58.663.568.3
Agent Workflow68.478.889.2
Code Generation0.98.516.2
Role Play & Narrative66.580.394.1
Research & Analysis83.486.389.1

Performance by hardware and tool

Every hardware/tool/quantization combination Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
Apple M4 ProoMLX4bit37.7 tok/s26.3 tok/s16.3 GB131,072 tokens63.52

Benchmark runs

All 2 Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX good for coding?
In our benchmarks, Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX scores 8.5/100 for coding. It runs at about 26.3 tok/s, so if you want more speed, Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_XXS-mtp is faster (~37.5 tok/s) and still scores well for coding (83.8/100).
Is Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX good for agentic (tool-using) tasks?
In our benchmarks, Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX scores 78.8/100 for agentic workflows. It runs at about 26.3 tok/s, so if you want more speed, muse-glimmer:latest is faster (~33.3 tok/s) and still scores well for agentic workflows (91.6/100).
How fast is Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX for local inference?
Across 2 community benchmark runs, Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX reaches up to 37.7 tok/s and averages 26.3 tok/s, with the fastest results on Apple M4 Pro.
How much memory does Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX need?
The leanest observed configuration used about 16.3 GB of memory (quantizations tested: 4bit).
Which tools have been used to run Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-4bit-MLX?
Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.