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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

deepseek-r1:14b

OLLAMA GGUF

qwen2 · 14.8B · Q4_K_M

Not Rec.

Mar 2, 2026 · Apple M4

Global Score
65 vs 22
Hardware Fit
88 vs 50
Quality Score
55 vs 10

Hardware

glm-4.6v-flash deepseek-r1:14b
MachineMac StudioMacBook Air
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB32 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

glm-4.6v-flash deepseek-r1:14b
Tokens/sec49.911.4
First chunk27 msN/A
TTFT3.7 s30.0 s
Load time2.7 s1.0 s
Memory usage0.0 GB16.5 GB
Memory %0%52%

HW Fit Score Breakdown

glm-4.6v-flash

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

deepseek-r1:14b

Speed
20/50
TTFT
0/20
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

deepseek-r1:14b

Reasoning
1/20
Coding
3/20
Instruction
1/20
Structured
0/15
Math
0/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate

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