qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Apr 29, 2026 · Intel Core™ i5-8350U
qwen3.5-2b-mlx
LM-STUDIO MLXqwen3_5 · 2B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
18 vs 65
Hardware Fit
53 vs 88
Quality Score
3 vs 55
Hardware
qwen3.5:0.8b qwen3.5-2b-mlx
MachineLENOVO 20L7CTO1WWMac mini
CPUIntel Core™ i5-8350UApple M4 Pro
Cores814
RAM23 GB64 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4 Pro
OSFedora Linux 43macOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3.5:0.8b qwen3.5-2b-mlx
Tokens/sec9.448.9
First chunk799 ms4208 ms
TTFT30.0 s4.2 s
Load time3.3 sN/A
Memory usage1.9 GB1.6 GB
Memory %8%3%
HW Fit Score Breakdown
qwen3.5:0.8b
Speed
23/50
TTFT
0/20
Memory
30/30
qwen3.5-2b-mlx
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen3.5:0.8b
Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
qwen3.5-2b-mlx
Reasoning
10/20
Coding
7/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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