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qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
36 vs 81
Hardware Fit
100 vs 89
Quality Score
8 vs 77

Hardware

qwen36-distill-apex glm-4.7-flash:q4_K_M
MachineMacBook ProASUS
CPUApple M5 MaxIntel Core™ i5-14600KF
Cores1820
RAM64 GB32 GB
GPUApple M5 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 27.0Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen36-distill-apex glm-4.7-flash:q4_K_M
Tokens/sec55.235.1
First chunk210 ms440 ms
TTFT210 ms440 ms
Load time4.8 s11.6 s
Memory usage0.9 GB18.4 GB
Memory %2%58%

HW Fit Score Breakdown

qwen36-distill-apex

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

glm-4.7-flash:q4_K_M

Speed
49/50
TTFT
20/20
Memory
20/30

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-4.7-flash:q4_K_M

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen36-distill-apex details | View glm-4.7-flash:q4_K_M 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