phi-1_5

LM-STUDIO GGUF

phi2 · Q8_0

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score

28 vs 89

Hardware Fit

66 vs 95

Quality Score

11 vs 87

Hardware

phi-1_5 qwen/qwen3-8b

MachineLENOVO 20BUS00700Mac mini

CPUIntel Core™ i5-5300UApple M4 Pro

Cores414

RAM16 GB64 GB

GPUIntel(R) HD Graphics 5500Apple M4 Pro

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4

Archx64arm64

Power Modebalancedbalanced

Performance

phi-1_5 qwen/qwen3-8b

Tokens/sec6.933.4

First chunk3040 ms257 ms

TTFT3.0 s257 ms

Load timeN/AN/A

Memory usage1.4 GB4.3 GB

Memory %9%7%

HW Fit Score Breakdown

phi-1_5

Speed

24/50

TTFT

16/20

Memory

26/30

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

Quality

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

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

View phi-1_5 details | View qwen/qwen3-8b 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