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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
65 vs 80
Hardware Fit
88 vs 85
Quality Score
55 vs 78

Hardware

glm-4.6v-flash qwen3:8b
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 qwen3:8b
Tokens/sec49.965.1
First chunk27 ms289 ms
TTFT3.7 s4.2 s
Load time2.7 s4.6 s
Memory usage0.0 GB5.6 GB
Memory %0%2%

HW Fit Score Breakdown

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

qwen3:8b

Speed
50/50
TTFT
5/20
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

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View glm-4.6v-flash details | View qwen3:8b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest