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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

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
65 vs 81
Hardware Fit
88 vs 95
Quality Score
55 vs 75

Hardware

glm-4.6v-flash qwen3:8b
MachineMac StudioASUS
CPUApple M2 MaxIntel Core™ i5-14600KF
Cores1220
RAM96 GB32 GB
GPUApple M2 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.1Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

glm-4.6v-flash qwen3:8b
Tokens/sec49.9108.3
First chunk27 ms169 ms
TTFT3.7 s169 ms
Load time2.7 s1.7 s
Memory usage0.0 GB5.6 GB
Memory %0%18%

HW Fit Score Breakdown

glm-4.6v-flash

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

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
25/30

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
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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