glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Kimi-48B:48B
OLLAMA GGUFkimi-linear · 49.1B · unknown
Aug 24, 2026 · Intel Core™ Ultra X7 358H
Global Score
65 vs 86
Hardware Fit
88 vs 78
Quality Score
55 vs 89
Hardware
glm-4.6v-flash Kimi-48B:48B
MachineMac StudioGMKtec NucBox EVO-T2S
CPUApple M2 MaxIntel Core™ Ultra X7 358H
Cores1216
RAM96 GB64 GB
GPUApple M2 MaxIntel(R) Arc(TM) B390 GPU
OSmacOS 26.1Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
glm-4.6v-flash Kimi-48B:48B
Tokens/sec49.923.1
First chunk27 ms752 ms
TTFT3.7 s752 ms
Load time2.7 s22.2 s
Memory usage0.0 GB25.5 GB
Memory %0%40%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Kimi-48B:48B
Speed
31/50
TTFT
20/20
Memory
27/30
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
Kimi-48B:48B
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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