qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 3, 2026 · Apple M4
smollm2:135m
OLLAMA GGUFllama · 134.52M · F16
Mar 2, 2026 · Apple M4
Global Score
55 vs 41
Hardware Fit
87 vs 100
Quality Score
41 vs 15
Hardware
qwen3.5-0.8b-mlx smollm2:135m
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx smollm2:135m
Tokens/sec68.2241.0
First chunk3268 msN/A
TTFT3.3 s39 ms
Load timeN/A0.4 s
Memory usage0.6 GB0.6 GB
Memory %2%2%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
13/20
Memory
24/30
smollm2:135m
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
qwen3.5-0.8b-mlx
Reasoning
8/20
Coding
1/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
smollm2:135m
Reasoning
4/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
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