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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

google/gemma-4-12b-it-qat

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
65 vs 74
Hardware Fit
88 vs 46
Quality Score
55 vs 86

Hardware

glm-4.6v-flash google/gemma-4-12b…
MachineMac StudioDocker Container
CPUApple M2 MaxIntel Gen Intel® Core™ i9-11900H
Cores1216
RAM96 GB15 GB
GPUApple M2 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

glm-4.6v-flash google/gemma-4-12b…
Tokens/sec49.95.0
First chunk27 ms64 ms
TTFT3.7 s5.5 s
Load time2.7 s9.5 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

glm-4.6v-flash

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

google/gemma-4-12b-it-qat

Speed
9/50
TTFT
7/20
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

google/gemma-4-12b-it-qat

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View glm-4.6v-flash details | View google/gemma-4-12b… 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