qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

phi-1_5

LM-STUDIO GGUF

phi2 · Q8_0

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score

89 vs 28

Hardware Fit

95 vs 66

Quality Score

87 vs 11

Hardware

qwen/qwen3-8b 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

qwen/qwen3-8b phi-1_5

Tokens/sec33.46.9

First chunk257 ms3040 ms

TTFT257 ms3.0 s

Load timeN/AN/A

Memory usage4.3 GB1.4 GB

Memory %7%9%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

phi-1_5

Speed

24/50

TTFT

16/20

Memory

26/30

Quality

qwen/qwen3-8b

Reasoning

19/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

13/15

Multilingual

10/10

Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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 qwen/qwen3-8b 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