Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen3.6:35b-a3b-q8_0

OLLAMA GGUF

qwen35moe · 36.0B · Q8_0

Excellent

Jul 7, 2026 · Cortex-X925

Global Score
59 vs 91
Hardware Fit
62 vs 99
Quality Score
58 vs 87

Hardware

google/gemma-4-e4b qwen3.6:35b-a3b-q8_0
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMASUSTeK COMPUTER INC. GX10
CPUAMD Ryzen 7 4800HCortex-X925
Cores1620
RAM15 GB122 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUDevice 2e12
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen3.6:35b-a3b-q8_0
Tokens/sec7.156.2
First chunk41 ms531 ms
TTFT1.2 s531 ms
Load time71.7 s32.8 s
Memory usage0.9 GB41.0 GB
Memory %6%34%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
12/50
TTFT
20/20
Memory
30/30

qwen3.6:35b-a3b-q8_0

Speed
50/50
TTFT
20/20
Memory
29/30

Quality

google/gemma-4-e4b

Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3.6:35b-a3b-q8_0

Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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