Back to leaderboard

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Gen Intel® Core™ i7-13700K

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
77 vs 62
Hardware Fit
75 vs 77
Quality Score
78 vs 55

Hardware

qwen3.5:9b google/gemma-4-e4b
MachineASUSLENOVO 82JQ
CPUIntel Gen Intel® Core™ i7-13700KAMD Ryzen 7 5800H
Cores2416
RAM64 GB16 GB
GPUNVIDIA GeForce RTX 3070NVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modeunknownbalanced

Performance

qwen3.5:9b google/gemma-4-e4b
Tokens/sec30.527.6
First chunk291 ms23 ms
TTFT291 ms480 ms
Load time4.8 sN/A
Memory usage8.8 GB13.2 GB
Memory %14%83%

HW Fit Score Breakdown

qwen3.5:9b

Speed
34/50
TTFT
20/20
Memory
21/30

google/gemma-4-e4b

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

Quality

qwen3.5:9b

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen3.5:9b details | View google/gemma-4-e4b 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