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qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
36 vs 65
Hardware Fit
100 vs 88
Quality Score
8 vs 55

Hardware

qwen36-distill-apex glm-4.6v-flash
MachineMacBook ProMac Studio
CPUApple M5 MaxApple M2 Max
Cores1812
RAM64 GB96 GB
GPUApple M5 MaxApple M2 Max
OSmacOS 27.0macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen36-distill-apex glm-4.6v-flash
Tokens/sec55.249.9
First chunk210 ms27 ms
TTFT210 ms3.7 s
Load time4.8 s2.7 s
Memory usage0.9 GB0.0 GB
Memory %2%0%

HW Fit Score Breakdown

qwen36-distill-apex

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

glm-4.6v-flash

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

Quality

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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
View qwen36-distill-apex details | View glm-4.6v-flash 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