glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
deepseek-r1:14b
OLLAMA GGUFqwen2 · 14.8B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
65 vs 22
Hardware Fit
88 vs 50
Quality Score
55 vs 10
Hardware
glm-4.6v-flash deepseek-r1:14b
MachineMac StudioMacBook Air
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB32 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
glm-4.6v-flash deepseek-r1:14b
Tokens/sec49.911.4
First chunk27 msN/A
TTFT3.7 s30.0 s
Load time2.7 s1.0 s
Memory usage0.0 GB16.5 GB
Memory %0%52%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
deepseek-r1:14b
Speed
20/50
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
deepseek-r1:14b
Reasoning
1/20
Coding
3/20
Instruction
1/20
Structured
0/15
Math
0/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
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