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qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
36 vs 60
Hardware Fit
100 vs 80
Quality Score
8 vs 52

Hardware

qwen36-distill-apex lfm2.5-thinking:1.2b
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M4 Pro
Cores1814
RAM64 GB48 GB
GPUApple M5 MaxApple M4 Pro
OSmacOS 27.0macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen36-distill-apex lfm2.5-thinking:1.2b
Tokens/sec55.2227.0
First chunk210 ms60 ms
TTFT210 ms30.0 s
Load time4.8 s0.7 s
Memory usage0.9 GB2.6 GB
Memory %2%6%

HW Fit Score Breakdown

qwen36-distill-apex

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

lfm2.5-thinking:1.2b

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

Quality

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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
View qwen36-distill-apex details | View lfm2.5-thinking:1.2b 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