qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score

85 vs 65

Hardware Fit

96 vs 88

Quality Score

80 vs 55

Hardware

qwen3.5:9b glm-4.6v-flash

MachineASUSMac Studio

CPUIntel Core™ i5-14600KFApple M2 Max

Cores2012

RAM32 GB96 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M2 Max

OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.1

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3.5:9b glm-4.6v-flash

Tokens/sec88.649.9

First chunk306 ms27 ms

TTFT306 ms3.7 s

Load time7.0 s2.7 s

Memory usage8.1 GB0.0 GB

Memory %25%0%

HW Fit Score Breakdown

qwen3.5:9b

Speed

50/50

TTFT

20/20

Memory

26/30

glm-4.6v-flash

Speed

50/50

TTFT

8/20

Memory

30/30

Quality

qwen3.5:9b

Reasoning

14/20

Coding

16/20

Instruction

15/20

Structured

15/15

Math

10/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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

View qwen3.5:9b details | View glm-4.6v-flash 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