qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
53 vs 72
Hardware Fit
72 vs 89
Quality Score
45 vs 64
Hardware
qwen3.5:9b qwen3-vl: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
qwen3.5:9b qwen3-vl:8b
Tokens/sec18.668.2
First chunk403 ms285 ms
TTFT10.2 s2.0 s
Load time4.3 s42.4 s
Memory usage9.1 GB7.1 GB
Memory %28%3%
HW Fit Score Breakdown
qwen3.5:9b
Speed
38/50
TTFT
4/20
Memory
30/30
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
Quality
qwen3.5:9b
Reasoning
12/20
Coding
3/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong
qwen3-vl:8b
Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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