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qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
90 vs 62
Hardware Fit
96 vs 77
Quality Score
87 vs 55

Hardware

qwen3-coder:30b google/gemma-4-e4b
MachineASUSLENOVO 82JQ
CPUIntel Core™ Ultra 9 285KAMD Ryzen 7 5800H
Cores2416
RAM47 GB16 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsNVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

qwen3-coder:30b google/gemma-4-e4b
Tokens/sec207.927.6
First chunk513 ms23 ms
TTFT513 ms480 ms
Load time4.9 sN/A
Memory usage20.5 GB13.2 GB
Memory %43%83%

HW Fit Score Breakdown

qwen3-coder:30b

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

google/gemma-4-e4b

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

Quality

qwen3-coder:30b

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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
View qwen3-coder:30b 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