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qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 10, 2026 · Apple M4

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
66 vs 60
Hardware Fit
34 vs 80
Quality Score
80 vs 52

Hardware

qwen3.5:27b lfm2.5-thinking:1.2b
MachineMac miniMacBook Pro
CPUApple M4Apple M4 Pro
Cores1014
RAM24 GB48 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:27b lfm2.5-thinking:1.2b
Tokens/sec4.0227.0
First chunk1655 ms60 ms
TTFT1.7 s30.0 s
Load time12.9 s0.7 s
Memory usage21.3 GB2.6 GB
Memory %89%6%

HW Fit Score Breakdown

qwen3.5:27b

Speed
8/50
TTFT
20/20
Memory
6/30

lfm2.5-thinking:1.2b

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

Quality

qwen3.5:27b

Reasoning
16/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong

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

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