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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
83 vs 68
Hardware Fit
96 vs 91
Quality Score
78 vs 58

Hardware

google/gemma-4-e4b qwen3.5:4b-mlx
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Pro
CPUAMD Ryzen 9 8940HXApple M1 Pro
Cores3210
RAM15 GB16 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M1 Pro
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.5:4b-mlx
Tokens/sec35.942.2
First chunk9 ms201 ms
TTFT182 ms4.4 s
Load timeN/A0.0 s
Memory usage6.5 GB3.8 GB
Memory %43%24%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

qwen3.5:4b-mlx

Speed
50/50
TTFT
11/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.5:4b-mlx

Reasoning
16/20
Coding
2/20
Instruction
13/20
Structured
7/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.5:4b-mlx details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest