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vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_S

Excellent

Mar 12, 2026 · Apple M4 Pro

Global Score
59 vs 84
Hardware Fit
84 vs 91
Quality Score
48 vs 81

Hardware

vicuna:13b qwen3.5-9b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

vicuna:13b qwen3.5-9b
Tokens/sec13.430.2
First chunkN/A499 ms
TTFT438 ms499 ms
Load time0.6 sN/A
Memory usage10.3 GB6.7 GB
Memory %32%11%

HW Fit Score Breakdown

vicuna:13b

Speed
24/50
TTFT
30/20
Memory
30/30

qwen3.5-9b

Speed
41/50
TTFT
20/20
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

qwen3.5-9b

Reasoning
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong 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