gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
vicuna:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
90 vs 59
Hardware Fit
78 vs 84
Quality Score
95 vs 48
Hardware
gemma4:e4b-mlx vicuna:13b
MachineMacBook ProMacBook Air
CPUApple M2 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx vicuna:13b
Tokens/sec46.113.4
First chunk284 msN/A
TTFT3.9 s438 ms
Load time0.1 s0.6 s
Memory usage10.8 GB10.3 GB
Memory %68%32%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
vicuna:13b
Speed
24/50
TTFT
30/20
Memory
30/30
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
vicuna:13b
Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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