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glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

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

Hardware

glm-4.7-flash:q4_K_M qwen36-distill-apex
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M5 Max
Cores2018
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M5 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 27.0
Archx64arm64
Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M qwen36-distill-apex
Tokens/sec35.155.2
First chunk440 ms210 ms
TTFT440 ms210 ms
Load time11.6 s4.8 s
Memory usage18.4 GB0.9 GB
Memory %58%2%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

qwen36-distill-apex

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

Quality

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

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-4.7-flash:q4_K_M 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