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lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score
60 vs 66
Hardware Fit
80 vs 91
Quality Score
52 vs 55

Hardware

lfm2.5-thinking:1.2b qwen3.8-27b-mlx
MachineMacBook ProMacBook Pro
CPUApple M4 ProApple M5 Max
Cores1418
RAM48 GB64 GB
GPUApple M4 ProApple M5 Max
OSmacOS 26.4.1macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2.5-thinking:1.2b qwen3.8-27b-mlx
Tokens/sec227.033.2
First chunk60 ms7 ms
TTFT30.0 s311 ms
Load time0.7 sN/A
Memory usage2.6 GB0.5 GB
Memory %6%1%

HW Fit Score Breakdown

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
Memory
30/30

qwen3.8-27b-mlx

Speed
41/50
TTFT
20/20
Memory
30/30

Quality

lfm2.5-thinking:1.2b

Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong

qwen3.8-27b-mlx

Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View lfm2.5-thinking:1.2b details | View qwen3.8-27b-mlx 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