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qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
40 vs 68
Hardware Fit
89 vs 93
Quality Score
19 vs 57

Hardware

qwen3-0.6b google/gemma-4-e4b
MachineLENOVO 20BUS00700LENOVO 82JQ
CPUIntel Core™ i5-5300UAMD Ryzen 7 5800H
Cores416
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

qwen3-0.6b google/gemma-4-e4b
Tokens/sec14.426.2
First chunk854 ms17 ms
TTFT854 ms572 ms
Load timeN/AN/A
Memory usage0.5 GB6.5 GB
Memory %3%41%

HW Fit Score Breakdown

qwen3-0.6b

Speed
43/50
TTFT
20/20
Memory
26/30

google/gemma-4-e4b

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

Quality

qwen3-0.6b

Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate

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
View qwen3-0.6b details | View google/gemma-4-e4b 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