qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 18, 2026 · Apple M4 Max
gemma4:e2b-mlx
OLLAMA GGUFAug 25, 2026 · Apple M1 Pro
Global Score
87 vs 82
Hardware Fit
83 vs 99
Quality Score
88 vs 75
Hardware
qwen/qwen3.8-27b gemma4:e2b-mlx
MachineMacBook ProMacBook Pro
CPUApple M4 MaxApple M1 Pro
Cores1610
RAM128 GB16 GB
GPUApple M4 MaxApple M1 Pro
OSmacOS 26.5.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.8-27b gemma4:e2b-mlx
Tokens/sec29.170.4
First chunk9 ms96 ms
TTFT650 ms96 ms
Load timeN/A2.5 s
Memory usage21.0 GB5.7 GB
Memory %16%36%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
33/50
TTFT
20/20
Memory
30/30
gemma4:e2b-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
Quality
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
gemma4:e2b-mlx
Reasoning
14/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak 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