vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M4

Global Score

59 vs 48

Hardware Fit

84 vs 77

Quality Score

48 vs 35

Hardware

vicuna:13b qwen3.5:4b

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB16 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

vicuna:13b qwen3.5:4b

Tokens/sec13.418.9

First chunkN/A316 ms

TTFT438 ms13.0 s

Load time0.6 s3.7 s

Memory usage10.3 GB5.9 GB

Memory %32%37%

HW Fit Score Breakdown

vicuna:13b

Speed

24/50

TTFT

30/20

Memory

30/30

qwen3.5:4b

Speed

43/50

TTFT

4/20

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

qwen3.5:4b

Reasoning

10/20

Coding

1/20

Instruction

4/20

Structured

3/15

Math

8/15

Multilingual

9/10

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

View vicuna:13b details | View qwen3.5:4b 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