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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

Global Score
65 vs 78
Hardware Fit
88 vs 72
Quality Score
55 vs 81

Hardware

glm-4.6v-flash gemma4:e4b-mlx
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M2 Pro
Cores1210
RAM96 GB16 GB
GPUApple M2 MaxApple M2 Pro
OSmacOS 26.1macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

glm-4.6v-flash gemma4:e4b-mlx
Tokens/sec49.926.9
First chunk27 ms222 ms
TTFT3.7 s222 ms
Load time2.7 s0.1 s
Memory usage0.0 GB15.4 GB
Memory %0%96%

HW Fit Score Breakdown

glm-4.6v-flash

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

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

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

gemma4:e4b-mlx

Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View glm-4.6v-flash details | View gemma4:e4b-mlx 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