qwen3.6:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
May 25, 2026 · Apple M4 Pro
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
70 vs 80
Hardware Fit
66 vs 85
Quality Score
71 vs 78
Hardware
qwen3.6:35b qwen3:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M4 ProIntel Xeon® Gold 6230
Cores1480
RAM48 GB252 GB
GPUApple M4 ProTU104GL [Quadro RTX 5000]
OSmacOS 26.4.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3.6:35b qwen3:8b
Tokens/sec30.665.1
First chunk304 ms289 ms
TTFT30.0 s4.2 s
Load time10.0 s4.6 s
Memory usage28.1 GB5.6 GB
Memory %59%2%
HW Fit Score Breakdown
qwen3.6:35b
Speed
45/50
TTFT
0/20
Memory
21/30
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
Quality
qwen3.6:35b
Reasoning
18/20
Coding
12/20
Instruction
12/20
Structured
6/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Strong 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