gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
Global Score
90 vs 59
Hardware Fit
78 vs 63
Quality Score
95 vs 58
Hardware
gemma4:e4b-mlx qwen3.8-27b-mlx
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M5 Max
Cores1018
RAM16 GB64 GB
GPUApple M2 ProApple M5 Max
OSmacOS 26.5macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx qwen3.8-27b-mlx
Tokens/sec46.118.3
First chunk284 ms4 ms
TTFT3.9 s530 ms
Load time0.1 sN/A
Memory usage10.8 GB38.5 GB
Memory %68%60%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
Quality
gemma4:e4b-mlx
Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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