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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

Global Score
84 vs 90
Hardware Fit
69 vs 97
Quality Score
90 vs 87

Hardware

qwen/qwen3.8-27b Qwen3.8-27B-UD-Q3_…
MachineMacBook Pro
CPUApple M4 MaxIntel Gen Intel® Core™ i5-12600K
Cores1616
RAM128 GB31 GB
GPUApple M4 MaxAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen/qwen3.8-27b Qwen3.8-27B-UD-Q3_…
Tokens/sec28.939.0
First chunk33 ms305 ms
TTFT4.4 s305 ms
Load time7.9 s0.0 s
Memory usage0.0 GB12.5 GB
Memory %0%41%

HW Fit Score Breakdown

qwen/qwen3.8-27b

Speed
33/50
TTFT
6/20
Memory
30/30

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

Quality

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest