qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 18, 2026 · Apple M4 Max
gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Global Score
81 vs 90
Hardware Fit
68 vs 78
Quality Score
87 vs 95
Hardware
qwen/qwen3.8-27b gemma4:e4b-mlx
MachineMacBook ProMacBook Pro
CPUApple M4 MaxApple M2 Pro
Cores1610
RAM128 GB16 GB
GPUApple M4 MaxApple M2 Pro
OSmacOS 26.5.2macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.8-27b gemma4:e4b-mlx
Tokens/sec16.446.1
First chunk5 ms284 ms
TTFT742 ms3.9 s
Load timeN/A0.1 s
Memory usage38.5 GB10.8 GB
Memory %30%68%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
18/50
TTFT
20/20
Memory
30/30
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
Quality
qwen/qwen3.8-27b
Reasoning
17/20
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: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
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