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qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_S

Not Rec.

Mar 14, 2026 · Apple M4

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
72 vs 59
Hardware Fit
51 vs 84
Quality Score
81 vs 48

Hardware

qwen3.5-9b vicuna:13b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-9b vicuna:13b
Tokens/sec14.413.4
First chunk4 msN/A
TTFT824 ms438 ms
Load timeN/A0.6 s
Memory usage48.3 GB10.3 GB
Memory %151%32%

HW Fit Score Breakdown

qwen3.5-9b

Speed
31/50
TTFT
20/20
Memory
0/30

vicuna:13b

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

Quality

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

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