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qwen3:30b-a3b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Jun 25, 2026 · Cortex-X925

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
84 vs 62
Hardware Fit
93 vs 77
Quality Score
80 vs 55

Hardware

qwen3:30b-a3b google/gemma-4-e4b
MachineNVIDIA NVIDIA_DGX_SparkLENOVO 82JQ
CPUCortex-X925AMD Ryzen 7 5800H
Cores2016
RAM122 GB16 GB
GPUDevice 2e12NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modeperformancebalanced

Performance

qwen3:30b-a3b google/gemma-4-e4b
Tokens/sec92.727.6
First chunk286 ms23 ms
TTFT1.5 s480 ms
Load time15.3 sN/A
Memory usage20.3 GB13.2 GB
Memory %17%83%

HW Fit Score Breakdown

qwen3:30b-a3b

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

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

Quality

qwen3:30b-a3b

Reasoning
16/20
Coding
10/20
Instruction
18/20
Structured
13/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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