qwen3.5:4b
OLLAMA GGUFqwen35 · 4.7B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
83 vs 80
Hardware Fit
100 vs 85
Quality Score
76 vs 78
Hardware
qwen3.5:4b qwen3:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M1 MaxIntel Xeon® Gold 6230
Cores1080
RAM32 GB252 GB
GPUApple M1 MaxTU104GL [Quadro RTX 5000]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3.5:4b qwen3:8b
Tokens/sec32.465.1
First chunk306 ms289 ms
TTFT306 ms4.2 s
Load time2.7 s4.6 s
Memory usage6.5 GB5.6 GB
Memory %20%2%
HW Fit Score Breakdown
qwen3.5:4b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
Quality
qwen3.5:4b
Reasoning
16/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak 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