Back to leaderboard

microsoft/phi-4-mini-reasoning

LM-STUDIO MLX

phi3 · 3.8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

lfm2:24b

OLLAMA GGUF

lfm2moe · 23.8B · Q4_K_M

Excellent

Mar 7, 2026 · AMD RYZEN AI MAX+ 395

Global Score
64 vs 88
Hardware Fit
100 vs 100
Quality Score
48 vs 83

Hardware

microsoft/phi-4-mi… lfm2:24b
MachineMac miniAZW GTR Pro
CPUApple M4 ProAMD RYZEN AI MAX+ 395
Cores1432
RAM64 GB125 GB
GPUApple M4 ProRadeon 8060S
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance

Performance

microsoft/phi-4-mi… lfm2:24b
Tokens/sec90.385.3
First chunk198 ms123 ms
TTFT198 ms123 ms
Load timeN/A2.9 s
Memory usage2.0 GB14.3 GB
Memory %3%12%

HW Fit Score Breakdown

microsoft/phi-4-mini-re…

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

lfm2:24b

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

lfm2:24b

Reasoning
14/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View microsoft/phi-4-mi… details | View lfm2:24b 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