phi-3.5-mini-instruct

LM-STUDIO MLX

phi3 · 4bit

Marginal

Mar 4, 2026 · Apple M4

lfm2-24b-a2b

LM-STUDIO GGUF

Good

Mar 6, 2026 · Apple M4 Pro

Global Score

55 vs 78

Hardware Fit

100 vs 100

Quality Score

36 vs 68

Hardware

phi-3.5-mini-instr… lfm2-24b-a2b

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM32 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

phi-3.5-mini-instr… lfm2-24b-a2b

Tokens/sec43.4105.9

First chunk359 ms252 ms

TTFT359 ms252 ms

Load timeN/AN/A

Memory usage2.0 GB0.1 GB

Memory %6%0%

HW Fit Score Breakdown

phi-3.5-mini-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

lfm2-24b-a2b

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

phi-3.5-mini-instruct

Reasoning

11/20

Coding

4/20

Instruction

7/20

Structured

1/15

Math

7/15

Multilingual

6/10

Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Adequate

lfm2-24b-a2b

Reasoning

12/20

Coding

14/20

Instruction

12/20

Structured

13/15

Math

8/15

Multilingual

9/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

View phi-3.5-mini-instr… details | View lfm2-24b-a2b 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