qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
smollm2-360m-instruct
LM-STUDIO GGUFllama · 360M · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
Global Score
53 vs 48
Hardware Fit
89 vs 98
Quality Score
38 vs 26
Hardware
qwen3.5-0.8b-mlx smollm2-360m-instr…
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx smollm2-360m-instr…
Tokens/sec52.920.0
First chunk4013 ms1116 ms
TTFT4.0 s1.1 s
Load timeN/AN/A
Memory usage0.6 GB0.3 GB
Memory %1%2%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
smollm2-360m-instruct
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen3.5-0.8b-mlx
Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
smollm2-360m-instruct
Reasoning
3/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
3/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Weak
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