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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

phi-1_5

LM-STUDIO GGUF

phi2 · Q8_0

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
53 vs 28
Hardware Fit
89 vs 66
Quality Score
38 vs 11

Hardware

qwen3.5-0.8b-mlx phi-1_5
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 phi-1_5
Tokens/sec52.96.9
First chunk4013 ms3040 ms
TTFT4.0 s3.0 s
Load timeN/AN/A
Memory usage0.6 GB1.4 GB
Memory %1%9%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

phi-1_5

Speed
24/50
TTFT
16/20
Memory
26/30

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

phi-1_5

Reasoning
2/20
Coding
2/20
Instruction
3/20
Structured
0/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View qwen3.5-0.8b-mlx details | View phi-1_5 details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest