gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
78 vs 87
Hardware Fit
72 vs 100
Quality Score
81 vs 81
Hardware
gemma4:e4b-mlx qwen3-vl-4b-instruct
MachineMacBook ProMac Studio
CPUApple M2 ProApple M2 Max
Cores1012
RAM16 GB96 GB
GPUApple M2 ProApple M2 Max
OSmacOS 26.5macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx qwen3-vl-4b-instruct
Tokens/sec26.971.2
First chunk222 ms10 ms
TTFT222 ms183 ms
Load time0.1 s6.0 s
Memory usage15.4 GB0.3 GB
Memory %96%0%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
2/30
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e4b-mlx
Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3-vl-4b-instruct
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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