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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

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

Hardware

glm-4.6v-flash lfm2.5-thinking:1.2b
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M4 Pro
Cores1214
RAM96 GB48 GB
GPUApple M2 MaxApple M4 Pro
OSmacOS 26.1macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced

Performance

glm-4.6v-flash lfm2.5-thinking:1.2b
Tokens/sec49.9227.0
First chunk27 ms60 ms
TTFT3.7 s30.0 s
Load time2.7 s0.7 s
Memory usage0.0 GB2.6 GB
Memory %0%6%

HW Fit Score Breakdown

glm-4.6v-flash

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

lfm2.5-thinking:1.2b

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

Quality

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

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 glm-4.6v-flash 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