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phi4-mini:latest

OLLAMA GGUF

phi3 · 3.8B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

Global Score
71 vs 90
Hardware Fit
100 vs 97
Quality Score
58 vs 87

Hardware

phi4-mini:latest Qwen3.8-27B-UD-Q3_…
MachineMacBook Air
CPUApple M4Intel Gen Intel® Core™ i5-12600K
Cores1016
RAM32 GB31 GB
GPUApple M4AlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

phi4-mini:latest Qwen3.8-27B-UD-Q3_…
Tokens/sec36.239.0
First chunkN/A305 ms
TTFT190 ms305 ms
Load time0.8 s0.0 s
Memory usage8.3 GB12.5 GB
Memory %26%41%

HW Fit Score Breakdown

phi4-mini:latest

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

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

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

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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