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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
65 vs 68
Hardware Fit
88 vs 93
Quality Score
55 vs 57

Hardware

glm-4.6v-flash google/gemma-4-e4b
MachineMac StudioLENOVO 82JQ
CPUApple M2 MaxAMD Ryzen 7 5800H
Cores1216
RAM96 GB16 GB
GPUApple M2 MaxNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.1Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

glm-4.6v-flash google/gemma-4-e4b
Tokens/sec49.926.2
First chunk27 ms17 ms
TTFT3.7 s572 ms
Load time2.7 sN/A
Memory usage0.0 GB6.5 GB
Memory %0%41%

HW Fit Score Breakdown

glm-4.6v-flash

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

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
View glm-4.6v-flash details | View google/gemma-4-e4b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest