Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Jun 19, 2026 · Apple M4 Max

Global Score
68 vs 89
Hardware Fit
93 vs 96
Quality Score
57 vs 86

Hardware

google/gemma-4-e4b qwen3-coder:30b
MachineLENOVO 82JQMacBook Pro
CPUAMD Ryzen 7 5800HApple M4 Max
Cores1616
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4 Max
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.5.1
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3-coder:30b
Tokens/sec26.289.9
First chunk17 ms188 ms
TTFT572 ms188 ms
Load timeN/A4.0 s
Memory usage6.5 GB30.2 GB
Memory %41%47%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3-coder:30b

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

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-coder:30b

Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3-coder:30b 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