qwen3.5:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
77 vs 81
Hardware Fit
53 vs 95
Quality Score
87 vs 75
Hardware
qwen3.5:35b qwen3:8b
MachineASUSASUS
CPUIntel Core™ i5-14600KFIntel Core™ i5-14600KF
Cores2020
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen3.5:35b qwen3:8b
Tokens/sec16.0108.3
First chunk719 ms169 ms
TTFT719 ms169 ms
Load time17.8 s1.7 s
Memory usage25.0 GB5.6 GB
Memory %79%18%
HW Fit Score Breakdown
qwen3.5:35b
Speed
23/50
TTFT
20/20
Memory
10/30
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
25/30
Quality
qwen3.5:35b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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