mlx-community/gemma-3-1b-it-8bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Qwen3.8-27B-UD-Q3_K_XL
OLLAMA GGUFllama · 27.3B · Q4_K
Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K
Global Score
72 vs 90
Hardware Fit
99 vs 97
Quality Score
61 vs 87
Hardware
mlx-community/gemm… Qwen3.8-27B-UD-Q3_…
MachineMacBook Air—
CPUApple M4Intel Gen Intel® Core™ i5-12600K
Cores1016
RAM32 GB31 GB
GPUApple M4AlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
mlx-community/gemm… Qwen3.8-27B-UD-Q3_…
Tokens/sec86.339.0
First chunk253 ms305 ms
TTFT253 ms305 ms
Load timeN/A0.0 s
Memory usage1.1 GB12.5 GB
Memory %4%41%
HW Fit Score Breakdown
mlx-community/gemma-3-1…
Speed
50/50
TTFT
20/20
Memory
29/30
Qwen3.8-27B-UD-Q3_K_XL
Speed
50/50
TTFT
20/20
Memory
27/30
Quality
mlx-community/gemma-3-1…
Reasoning
7/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
2/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor 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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest