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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

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Excellent

Mar 5, 2026 · Apple M1 Max

Global Score
83 vs 83
Hardware Fit
96 vs 100
Quality Score
78 vs 76

Hardware

google/gemma-4-e4b qwen3.5:4b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Pro
CPUAMD Ryzen 9 8940HXApple M1 Max
Cores3210
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M1 Max
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.5:4b
Tokens/sec35.932.4
First chunk9 ms306 ms
TTFT182 ms306 ms
Load timeN/A2.7 s
Memory usage6.5 GB6.5 GB
Memory %43%20%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.5:4b

Speed
50/50
TTFT
20/20
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

Reasoning
16/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.5:4b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest