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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
68 vs 68
Hardware Fit
93 vs 100
Quality Score
57 vs 54

Hardware

google/gemma-4-e4b qwen2.5-coder:1.5b
MachineLENOVO 82JQLENOVO 20U30029MB
CPUAMD Ryzen 7 5800HIntel Core™ i5-10210U
Cores168
RAM16 GB15 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUCometLake-U GT2 [UHD Graphics]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Pop 24.04 LTS
Archx64x64
Power Modebalancedlow-power

Performance

google/gemma-4-e4b qwen2.5-coder:1.5b
Tokens/sec26.221.8
First chunk17 ms499 ms
TTFT572 ms499 ms
Load timeN/A4.4 s
Memory usage6.5 GB1.5 GB
Memory %41%10%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen2.5-coder:1.5b

Speed
50/50
TTFT
20/20
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

qwen2.5-coder:1.5b

Reasoning
8/20
Coding
11/20
Instruction
13/20
Structured
11/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong
View google/gemma-4-e4b details | View qwen2.5-coder:1.5b 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