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 19, 2026 · Intel Core™ i7-14700F
Global Score
65 vs 85
Hardware Fit
88 vs 83
Quality Score
55 vs 86
Hardware
glm-4.6v-flash Kimi-48B:48B
MachineMac StudioHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUApple M2 MaxIntel Core™ i7-14700F
Cores1228
RAM96 GB64 GB
GPUApple M2 MaxNVIDIA GeForce RTX 5080
OSmacOS 26.1Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
glm-4.6v-flash Kimi-48B:48B
Tokens/sec49.932.8
First chunk27 ms724 ms
TTFT3.7 s724 ms
Load time2.7 s20.9 s
Memory usage0.0 GB25.8 GB
Memory %0%41%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Kimi-48B:48B
Speed
36/50
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
16/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
13/15
Multilingual
10/10
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