Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3.6-35b-a3b

LM-STUDIO GGUF

qwen35moe · 35B · IQ3_XXS

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
62 vs 79
Hardware Fit
77 vs 59
Quality Score
55 vs 87

Hardware

google/gemma-4-e4b qwen3.6-35b-a3b
MachineLENOVO 82JQDocker Container
CPUAMD Ryzen 7 5800HIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM16 GB15 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen3.6-35b-a3b
Tokens/sec27.69.3
First chunk23 ms21 ms
TTFT480 ms3.6 s
Load timeN/A32.0 s
Memory usage13.2 GB1.8 GB
Memory %83%12%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.6-35b-a3b

Speed
17/50
TTFT
12/20
Memory
30/30

Quality

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

qwen3.6-35b-a3b

Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.6-35b-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