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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3.5-9b@q5_k_xl

LM-STUDIO GGUF

qwen35 · 9B · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
68 vs 73
Hardware Fit
93 vs 47
Quality Score
57 vs 84

Hardware

google/gemma-4-e4b qwen3.5-9b@q5_k_xl
MachineLENOVO 82JQDocker Container
CPUAMD Ryzen 7 5800HIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM16 GB15 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen3.5-9b@q5_k_xl
Tokens/sec26.25.6
First chunk17 ms19 ms
TTFT572 ms5.6 s
Load timeN/A12.5 s
Memory usage6.5 GB0.0 GB
Memory %41%0%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

qwen3.5-9b@q5_k_xl

Speed
10/50
TTFT
7/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

qwen3.5-9b@q5_k_xl

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.5-9b@q5_k_xl 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