glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

phi-1_5

LM-STUDIO GGUF

phi2 · Q8_0

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score

81 vs 28

Hardware Fit

89 vs 66

Quality Score

77 vs 11

Hardware

glm-4.7-flash:q4_K_M phi-1_5

MachineASUSLENOVO 20BUS00700

CPUIntel Core™ i5-14600KFIntel Core™ i5-5300U

Cores204

RAM32 GB16 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERIntel(R) HD Graphics 5500

OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows 10 Professionnel 10.0.19045

Archx64x64

Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M phi-1_5

Tokens/sec35.16.9

First chunk440 ms3040 ms

TTFT440 ms3.0 s

Load time11.6 sN/A

Memory usage18.4 GB1.4 GB

Memory %58%9%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

Speed

49/50

TTFT

20/20

Memory

20/30

phi-1_5

Speed

24/50

TTFT

16/20

Memory

26/30

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

phi-1_5

Reasoning

2/20

Coding

2/20

Instruction

3/20

Structured

0/15

Math

2/15

Multilingual

2/10

Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

View glm-4.7-flash:q4_K_M details | View phi-1_5 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