vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score

59 vs 65

Hardware Fit

84 vs 88

Quality Score

48 vs 55

Hardware

vicuna:13b glm-4.6v-flash

MachineMacBook AirMac Studio

CPUApple M4Apple M2 Max

Cores1012

RAM32 GB96 GB

GPUApple M4Apple M2 Max

OSmacOS 26.3macOS 26.1

Archarm64arm64

Power Modebalancedbalanced

Performance

vicuna:13b glm-4.6v-flash

Tokens/sec13.449.9

First chunkN/A27 ms

TTFT438 ms3.7 s

Load time0.6 s2.7 s

Memory usage10.3 GB0.0 GB

Memory %32%0%

HW Fit Score Breakdown

vicuna:13b

Speed

24/50

TTFT

30/20

Memory

30/30

glm-4.6v-flash

Speed

50/50

TTFT

8/20

Memory

30/30

Quality

vicuna:13b

Reasoning

7/20

Coding

5/20

Instruction

12/20

Structured

13/15

Math

3/15

Multilingual

8/10

Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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 vicuna:13b 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