gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 18, 2026 · Apple M4 Max
Global Score
81 vs 87
Hardware Fit
82 vs 83
Quality Score
81 vs 88
Hardware
gemma4:12b-mlx qwen/qwen3.8-27b
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M4 Max
Cores1016
RAM16 GB128 GB
GPUApple M2 ProApple M4 Max
OSmacOS 26.5macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:12b-mlx qwen/qwen3.8-27b
Tokens/sec25.329.1
First chunk761 ms9 ms
TTFT7.7 s650 ms
Load time3.6 sN/A
Memory usage7.1 GB21.0 GB
Memory %44%16%
HW Fit Score Breakdown
gemma4:12b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
qwen/qwen3.8-27b
Speed
33/50
TTFT
20/20
Memory
30/30
Quality
gemma4:12b-mlx
Reasoning
16/20
Coding
15/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
qwen/qwen3.8-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
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