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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

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
60 vs 65
Hardware Fit
80 vs 88
Quality Score
52 vs 55

Hardware

lfm2.5-thinking:1.2b glm-4.6v-flash
MachineMacBook ProMac Studio
CPUApple M4 ProApple M2 Max
Cores1412
RAM48 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 26.4.1macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2.5-thinking:1.2b glm-4.6v-flash
Tokens/sec227.049.9
First chunk60 ms27 ms
TTFT30.0 s3.7 s
Load time0.7 s2.7 s
Memory usage2.6 GB0.0 GB
Memory %6%0%

HW Fit Score Breakdown

lfm2.5-thinking:1.2b

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

glm-4.6v-flash

Speed
50/50
TTFT
8/20
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

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor 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