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phi4-mini:latest

OLLAMA GGUF

phi3 · 3.8B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

Global Score
71 vs 66
Hardware Fit
100 vs 100
Quality Score
58 vs 52

Hardware

phi4-mini:latest hf.co/empero-ai/Qw…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

phi4-mini:latest hf.co/empero-ai/Qw…
Tokens/sec36.240.4
First chunkN/A93 ms
TTFT190 ms93 ms
Load time0.8 s2.7 s
Memory usage8.3 GB4.7 GB
Memory %26%30%

HW Fit Score Breakdown

phi4-mini:latest

Speed
40/50
TTFT
30/20
Memory
30/30

hf.co/empero-ai/Qwen3.8…

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

Quality

phi4-mini:latest

Reasoning
12/20
Coding
10/20
Instruction
10/20
Structured
11/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Weak Multilingual: Strong

hf.co/empero-ai/Qwen3.8…

Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

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