qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Qwen3-Coder-30B:30B
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Aug 18, 2026 · Intel Core™ Ultra X7 358H
Global Score
85 vs 88
Hardware Fit
96 vs 91
Quality Score
80 vs 87
Hardware
qwen3.5:9b Qwen3-Coder-30B:30B
MachineASUSGMKtec NucBox EVO-T2S
CPUIntel Core™ i5-14600KFIntel Core™ Ultra X7 358H
Cores2016
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERIntel(R) Arc(TM) B390 GPU
OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen3.5:9b Qwen3-Coder-30B:30B
Tokens/sec88.632.2
First chunk306 ms540 ms
TTFT306 ms540 ms
Load time7.0 s15.6 s
Memory usage8.1 GB17.7 GB
Memory %25%28%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
26/30
Qwen3-Coder-30B:30B
Speed
41/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:9b
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-Coder-30B:30B
Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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