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qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
72 vs 59
Hardware Fit
89 vs 84
Quality Score
65 vs 48

Hardware

qwen3.5-9b vicuna:13b
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-9b vicuna:13b
Tokens/sec28.913.4
First chunk338 msN/A
TTFT338 ms438 ms
Load timeN/A0.6 s
Memory usage6.1 GB10.3 GB
Memory %10%32%

HW Fit Score Breakdown

qwen3.5-9b

Speed
39/50
TTFT
20/20
Memory
30/30

vicuna:13b

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

Quality

qwen3.5-9b

Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong

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