glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
65 vs 79
Hardware Fit
88 vs 98
Quality Score
55 vs 71
Hardware
glm-4.6v-flash ministral-3:8b
MachineMac StudioMac mini
CPUApple M2 MaxApple M4 Pro
Cores1212
RAM96 GB24 GB
GPUApple M2 MaxApple M4 Pro
OSmacOS 26.1macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
glm-4.6v-flash ministral-3:8b
Tokens/sec49.941.4
First chunk27 ms257 ms
TTFT3.7 s257 ms
Load time2.7 s5.2 s
Memory usage0.0 GB9.0 GB
Memory %0%38%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
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
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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