qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
gemma-4-e4b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
84 vs 77
Hardware Fit
69 vs 59
Quality Score
90 vs 84
Hardware
qwen/qwen3.8-27b gemma-4-e4b-it@q5_…
MachineMacBook ProDocker Container
CPUApple M4 MaxIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM128 GB15 GB
GPUApple M4 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen/qwen3.8-27b gemma-4-e4b-it@q5_…
Tokens/sec28.99.3
First chunk33 ms51 ms
TTFT4.4 s3.4 s
Load time7.9 s12.2 s
Memory usage0.0 GB0.0 GB
Memory %0%0%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
33/50
TTFT
6/20
Memory
30/30
gemma-4-e4b-it@q5_k_xl
Speed
17/50
TTFT
12/20
Memory
30/30
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
gemma-4-e4b-it@q5_k_xl
Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest