Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

qwen3:30b-a3b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Jun 25, 2026 · Cortex-X925

Global Score
83 vs 84
Hardware Fit
96 vs 93
Quality Score
78 vs 80

Hardware

google/gemma-4-e4b qwen3:30b-a3b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHNVIDIA NVIDIA_DGX_Spark
CPUAMD Ryzen 9 8940HXCortex-X925
Cores3220
RAM15 GB122 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MDevice 2e12
OSMicrosoft Windows 11 Home Single Language 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen3:30b-a3b
Tokens/sec35.992.7
First chunk9 ms286 ms
TTFT182 ms1.5 s
Load timeN/A15.3 s
Memory usage6.5 GB20.3 GB
Memory %43%17%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3:30b-a3b

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

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

qwen3:30b-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
View google/gemma-4-e4b details | View qwen3:30b-a3b 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