glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score

81 vs 71

Hardware Fit

89 vs 56

Quality Score

77 vs 78

Hardware

glm-4.7-flash:q4_K_M qwen3.5:9b

MachineASUSSystem manufacturer

CPUIntel Core™ i5-14600KFAMD Ryzen 5 5500

Cores2012

RAM32 GB16 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERNVIDIA GeForce RTX 3060

OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100

Archx64x64

Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M qwen3.5:9b

Tokens/sec35.15.3

First chunk440 ms1624 ms

TTFT440 ms1.6 s

Load time11.6 s4.0 s

Memory usage18.4 GB7.9 GB

Memory %58%50%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

Speed

49/50

TTFT

20/20

Memory

20/30

qwen3.5:9b

Speed

11/50

TTFT

20/20

Memory

25/30

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

qwen3.5:9b

Reasoning

14/20

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 glm-4.7-flash:q4_K_M details | View qwen3.5:9b 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