vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

qwen3.5-9b

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Excellent

Mar 3, 2026 · Apple M4

Global Score

59 vs 81

Hardware Fit

84 vs 84

Quality Score

48 vs 79

Hardware

vicuna:13b qwen3.5-9b

MachineMacBook AirMacBook Air

CPUApple M4Apple M4

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

vicuna:13b qwen3.5-9b

Tokens/sec13.420.4

First chunkN/A3034 ms

TTFT438 ms3.0 s

Load time0.6 sN/A

Memory usage10.3 GB5.6 GB

Memory %32%17%

HW Fit Score Breakdown

vicuna:13b

Speed

24/50

TTFT

30/20

Memory

30/30

qwen3.5-9b

Speed

41/50

TTFT

14/20

Memory

29/30

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

qwen3.5-9b

Reasoning

14/20

Coding

15/20

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

View vicuna:13b details | View qwen3.5-9b 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