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microsoft/phi-4-mini-reasoning

LM-STUDIO MLX

phi3 · 3.8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
64 vs 66
Hardware Fit
100 vs 100
Quality Score
48 vs 52

Hardware

microsoft/phi-4-mi… hf.co/empero-ai/Qw…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

microsoft/phi-4-mi… hf.co/empero-ai/Qw…
Tokens/sec90.326.5
First chunk198 ms447 ms
TTFT198 ms447 ms
Load timeN/A3.3 s
Memory usage2.0 GB4.8 GB
Memory %3%30%

HW Fit Score Breakdown

microsoft/phi-4-mini-re…

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

hf.co/empero-ai/Qwen3.8…

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

Quality

microsoft/phi-4-mini-re…

Reasoning
7/20
Coding
7/20
Instruction
7/20
Structured
7/15
Math
13/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Adequate

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest