glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
65 vs 78
Hardware Fit
88 vs 100
Quality Score
55 vs 68
Hardware
glm-4.6v-flash lfm2-24b-a2b
MachineMac StudioMac mini
CPUApple M2 MaxApple M4 Pro
Cores1214
RAM96 GB64 GB
GPUApple M2 MaxApple M4 Pro
OSmacOS 26.1macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
glm-4.6v-flash lfm2-24b-a2b
Tokens/sec49.9105.9
First chunk27 ms252 ms
TTFT3.7 s252 ms
Load time2.7 sN/A
Memory usage0.0 GB0.1 GB
Memory %0%0%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
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
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest