qwen2.5-7b-instruct
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
gemma4:e2b-mlx
OLLAMA GGUFAug 25, 2026 · Apple M1 Pro
Global Score
82 vs 82
Hardware Fit
92 vs 99
Quality Score
78 vs 75
Hardware
qwen2.5-7b-instruct gemma4:e2b-mlx
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen2.5-7b-instruct gemma4:e2b-mlx
Tokens/sec22.070.4
First chunk477 ms96 ms
TTFT477 ms96 ms
Load timeN/A2.5 s
Memory usage4.0 GB5.7 GB
Memory %13%36%
HW Fit Score Breakdown
qwen2.5-7b-instruct
Speed
43/50
TTFT
20/20
Memory
29/30
gemma4:e2b-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
Quality
qwen2.5-7b-instruct
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate 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