Back to leaderboard

qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

adityakale/kotakneo

OLLAMA GGUF
Good

Aug 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
86 vs 77
Hardware Fit
100 vs 100
Quality Score
80 vs 67

Hardware

qwen3.5:9b-q8_0 adityakale/kotakneo
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4AZW GTR Pro
CPUIntel Core™ i5-14400FAMD RYZEN AI MAX+ 395
Cores1632
RAM32 GB125 GB
GPUNVIDIA GeForce RTX 5060 TiRadeon 8060S
OSMicrosoft Windows 11 Professionnel 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

qwen3.5:9b-q8_0 adityakale/kotakneo
Tokens/sec37.781.2
First chunk120 ms183 ms
TTFT120 ms183 ms
Load time8.3 s2.5 s
Memory usage8.4 GB17.8 GB
Memory %26%14%

HW Fit Score Breakdown

qwen3.5:9b-q8_0

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

adityakale/kotakneo

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

Quality

qwen3.5:9b-q8_0

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

adityakale/kotakneo

Reasoning
11/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor 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