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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Apr 1, 2026 · Apple M4

Global Score
62 vs 4
Hardware Fit
77 vs 13
Quality Score
55 vs 0

Hardware

google/gemma-4-e4b qwen3.5:27b
MachineLENOVO 82JQMac mini
CPUAMD Ryzen 7 5800HApple M4
Cores1610
RAM16 GB24 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.5:27b
Tokens/sec27.63.5
First chunk23 ms1781 ms
TTFT480 ms52.0 s
Load timeN/A13.4 s
Memory usage13.2 GB21.3 GB
Memory %83%89%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

qwen3.5:27b

Speed
7/50
TTFT
0/20
Memory
6/30

Quality

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

qwen3.5:27b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View google/gemma-4-e4b details | View qwen3.5:27b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest