qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
Global Score
72 vs 60
Hardware Fit
89 vs 96
Quality Score
64 vs 44
Hardware
qwen3-vl:8b qwen3.5-0.8b-mlx
MachineHP HP Z8 G4 WorkstationMacBook Air
CPUIntel Xeon® Gold 6230Apple M4
Cores8010
RAM252 GB32 GB
GPUTU104GL [Quadro RTX 5000]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3-vl:8b qwen3.5-0.8b-mlx
Tokens/sec68.2108.0
First chunk285 ms2568 ms
TTFT2.0 s2.6 s
Load time42.4 sN/A
Memory usage7.1 GB1.0 GB
Memory %3%3%
HW Fit Score Breakdown
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
Quality
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
qwen3.5-0.8b-mlx
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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