glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

phi-1_5

LM-STUDIO GGUF

phi2 · Q8_0

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score

65 vs 28

Hardware Fit

88 vs 66

Quality Score

55 vs 11

Hardware

glm-4.6v-flash phi-1_5

MachineMac StudioLENOVO 20BUS00700

CPUApple M2 MaxIntel Core™ i5-5300U

Cores124

RAM96 GB16 GB

GPUApple M2 MaxIntel(R) HD Graphics 5500

OSmacOS 26.1Microsoft Windows 10 Professionnel 10.0.19045

Archarm64x64

Power Modebalancedbalanced

Performance

glm-4.6v-flash phi-1_5

Tokens/sec49.96.9

First chunk27 ms3040 ms

TTFT3.7 s3.0 s

Load time2.7 sN/A

Memory usage0.0 GB1.4 GB

Memory %0%9%

HW Fit Score Breakdown

glm-4.6v-flash

Speed

50/50

TTFT

8/20

Memory

30/30

phi-1_5

Speed

24/50

TTFT

16/20

Memory

26/30

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

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-4.6v-flash 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