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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

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 2, 2026 · Apple M4

Global Score
83 vs 65
Hardware Fit
96 vs 99
Quality Score
78 vs 51

Hardware

google/gemma-4-e4b qwen3.5:0.8b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Air
CPUAMD Ryzen 9 8940HXApple M4
Cores3210
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M4
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.5:0.8b
Tokens/sec35.948.2
First chunk9 msN/A
TTFT182 ms195 ms
Load timeN/A1.0 s
Memory usage6.5 GB2.5 GB
Memory %43%8%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.5:0.8b

Speed
40/50
TTFT
30/20
Memory
29/30

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

qwen3.5:0.8b

Reasoning
9/20
Coding
6/20
Instruction
11/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
View google/gemma-4-e4b details | View qwen3.5:0.8b 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