lfm2.5-1.2b-instruct-mlx

LM-STUDIO MLX

lfm2 · 1.2B · 8bit

Good

Mar 4, 2026 · Apple M4

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score

68 vs 89

Hardware Fit

100 vs 95

Quality Score

54 vs 87

Hardware

lfm2.5-1.2b-instru… qwen/qwen3-8b

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

lfm2.5-1.2b-instru… qwen/qwen3-8b

Tokens/sec77.333.4

First chunk177 ms257 ms

TTFT177 ms257 ms

Load timeN/AN/A

Memory usage1.2 GB4.3 GB

Memory %4%7%

HW Fit Score Breakdown

lfm2.5-1.2b-instruct-mlx

Speed

50/50

TTFT

20/20

Memory

30/30

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

Quality

lfm2.5-1.2b-instruct-mlx

Reasoning

10/20

Coding

7/20

Instruction

16/20

Structured

12/15

Math

1/15

Multilingual

8/10

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

qwen/qwen3-8b

Reasoning

19/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

13/15

Multilingual

10/10

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

View lfm2.5-1.2b-instru… details | View qwen/qwen3-8b 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