qwen3.5-4b-mlx
LM-STUDIO MLXqwen3_5 · 4B · 4bit
Mar 3, 2026 · Apple M4
google/gemma-4-e4b-it-qat
LM-STUDIO GGUFgemma4 · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
71 vs 78
Hardware Fit
88 vs 68
Quality Score
63 vs 82
Hardware
qwen3.5-4b-mlx google/gemma-4-e4b…
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5-4b-mlx google/gemma-4-e4b…
Tokens/sec23.111.4
First chunk3279 ms26 ms
TTFT3.3 s2.2 s
Load timeN/A5.9 s
Memory usage2.9 GB0.0 GB
Memory %9%0%
HW Fit Score Breakdown
qwen3.5-4b-mlx
Speed
45/50
TTFT
13/20
Memory
30/30
google/gemma-4-e4b-it-qat
Speed
21/50
TTFT
17/20
Memory
30/30
Quality
qwen3.5-4b-mlx
Reasoning
15/20
Coding
16/20
Instruction
6/20
Structured
6/15
Math
11/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong
google/gemma-4-e4b-it-qat
Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate 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