glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
65 vs 72
Hardware Fit
88 vs 89
Quality Score
55 vs 64
Hardware
glm-4.6v-flash qwen3-vl:8b
MachineMac StudioHP HP Z8 G4 Workstation
CPUApple M2 MaxIntel Xeon® Gold 6230
Cores1280
RAM96 GB252 GB
GPUApple M2 MaxTU104GL [Quadro RTX 5000]
OSmacOS 26.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
glm-4.6v-flash qwen3-vl:8b
Tokens/sec49.968.2
First chunk27 ms285 ms
TTFT3.7 s2.0 s
Load time2.7 s42.4 s
Memory usage0.0 GB7.1 GB
Memory %0%3%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
qwen3-vl:8b
Speed
50/50
TTFT
9/20
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
qwen3-vl:8b
Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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