qwen3.5:9b-q8_0
OLLAMA GGUFqwen35 · 9.7B · Q8_0
Sep 15, 2026 · Intel Core™ i5-14400F
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
86 vs 80
Hardware Fit
100 vs 85
Quality Score
80 vs 78
Hardware
qwen3.5:9b-q8_0 qwen3:8b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4HP HP Z8 G4 Workstation
CPUIntel Core™ i5-14400FIntel Xeon® Gold 6230
Cores1680
RAM32 GB252 GB
GPUNVIDIA GeForce RTX 5060 TiTU104GL [Quadro RTX 5000]
OSMicrosoft Windows 11 Professionnel 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power
Performance
qwen3.5:9b-q8_0 qwen3:8b
Tokens/sec37.765.1
First chunk120 ms289 ms
TTFT120 ms4.2 s
Load time8.3 s4.6 s
Memory usage8.4 GB5.6 GB
Memory %26%2%
HW Fit Score Breakdown
qwen3.5:9b-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3:8b
Speed
50/50
TTFT
5/20
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
qwen3:8b
Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest