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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Aug 19, 2026 · Intel Core™ Ultra X7 358H

Global Score
68 vs 82
Hardware Fit
93 vs 59
Quality Score
57 vs 92

Hardware

google/gemma-4-e4b Qwen3-80B:80B
MachineLENOVO 82JQGMKtec NucBox EVO-T2S
CPUAMD Ryzen 7 5800HIntel Core™ Ultra X7 358H
Cores1616
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUIntel(R) Arc(TM) B390 GPU
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b Qwen3-80B:80B
Tokens/sec26.219.3
First chunk17 ms798 ms
TTFT572 ms798 ms
Load timeN/A38.9 s
Memory usage6.5 GB46.9 GB
Memory %41%74%

HW Fit Score Breakdown

google/gemma-4-e4b

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

Qwen3-80B:80B

Speed
26/50
TTFT
20/20
Memory
13/30

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

Qwen3-80B:80B

Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View Qwen3-80B:80B details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest