Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3.5:122b-a10b

OLLAMA GGUF

qwen35moe · 125.1B · Q4_K_M

Excellent

Mar 12, 2026 · AMD RYZEN AI MAX+ 395

Global Score
62 vs 80
Hardware Fit
77 vs 52
Quality Score
55 vs 92

Hardware

google/gemma-4-e4b qwen3.5:122b-a10b
MachineLENOVO 82JQAZW GTR Pro
CPUAMD Ryzen 7 5800HAMD RYZEN AI MAX+ 395
Cores1632
RAM16 GB125 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPURadeon 8060S
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedperformance

Performance

google/gemma-4-e4b qwen3.5:122b-a10b
Tokens/sec27.619.1
First chunk23 ms467 ms
TTFT480 ms467 ms
Load timeN/A30.0 s
Memory usage13.2 GB89.3 GB
Memory %83%72%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.5:122b-a10b

Speed
18/50
TTFT
20/20
Memory
14/30

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

qwen3.5:122b-a10b

Reasoning
19/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.5:122b-a10b 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