qwen3.5:9b-q8_0
OLLAMA GGUFqwen35 · 9.7B · Q8_0
Sep 15, 2026 · Intel Core™ i5-14400F
llama3.2:1b
OLLAMA GGUFllama · 1.2B · Q8_0
Jun 26, 2026 · Cortex-A78AE
Global Score
86 vs 63
Hardware Fit
100 vs 100
Quality Score
80 vs 47
Hardware
qwen3.5:9b-q8_0 llama3.2:1b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4NVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUIntel Core™ i5-14400FCortex-A78AE
Cores166
RAM32 GB7 GB
GPUNVIDIA GeForce RTX 5060 TiIntegrated / Unknown
OSMicrosoft Windows 11 Professionnel 10.0.26200Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b-q8_0 llama3.2:1b
Tokens/sec37.740.2
First chunk120 ms1087 ms
TTFT120 ms1.1 s
Load time8.3 s6.2 s
Memory usage8.4 GB1.4 GB
Memory %26%19%
HW Fit Score Breakdown
qwen3.5:9b-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
llama3.2:1b
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
llama3.2:1b
Reasoning
4/20
Coding
9/20
Instruction
14/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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