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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

Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Aug 24, 2026 · Intel Core™ Ultra X7 358H

Global Score
83 vs 82
Hardware Fit
96 vs 59
Quality Score
78 vs 92

Hardware

google/gemma-4-e4b Qwen3-80B:80B
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHGMKtec NucBox EVO-T2S
CPUAMD Ryzen 9 8940HXIntel Core™ Ultra X7 358H
Cores3216
RAM15 GB64 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MIntel(R) Arc(TM) B390 GPU
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b Qwen3-80B:80B
Tokens/sec35.919.6
First chunk9 ms823 ms
TTFT182 ms823 ms
Load timeN/A41.6 s
Memory usage6.5 GB46.9 GB
Memory %43%74%

HW Fit Score Breakdown

google/gemma-4-e4b

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

Qwen3-80B:80B

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

Quality

google/gemma-4-e4b

Reasoning
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

Qwen3-80B: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

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