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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

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

Hardware

glm-4.6v-flash qwen36-distill-apex
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M5 Max
Cores1218
RAM96 GB64 GB
GPUApple M2 MaxApple M5 Max
OSmacOS 26.1macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

glm-4.6v-flash qwen36-distill-apex
Tokens/sec49.955.2
First chunk27 ms210 ms
TTFT3.7 s210 ms
Load time2.7 s4.8 s
Memory usage0.0 GB0.9 GB
Memory %0%2%

HW Fit Score Breakdown

glm-4.6v-flash

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

qwen36-distill-apex

Speed
50/50
TTFT
20/20
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

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