Back to leaderboard

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

Global Score
71 vs 78
Hardware Fit
56 vs 68
Quality Score
78 vs 82

Hardware

qwen3.5:9b google/gemma-4-e4b…
MachineSystem manufacturerDocker Container
CPUAMD Ryzen 5 5500Intel Gen Intel® Core™ i9-11900H
Cores1216
RAM16 GB15 GB
GPUNVIDIA GeForce RTX 3060TigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen3.5:9b google/gemma-4-e4b…
Tokens/sec5.311.4
First chunk1624 ms26 ms
TTFT1.6 s2.2 s
Load time4.0 s5.9 s
Memory usage7.9 GB0.0 GB
Memory %50%0%

HW Fit Score Breakdown

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

Quality

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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