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qwen3.5:2b

OLLAMA GGUF

qwen35 · 2.3B · Q8_0

Good

Mar 2, 2026 · Apple M4

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
73 vs 59
Hardware Fit
100 vs 84
Quality Score
62 vs 48

Hardware

qwen3.5:2b vicuna:13b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:2b vicuna:13b
Tokens/sec30.413.4
First chunkN/AN/A
TTFT215 ms438 ms
Load time1.8 s0.6 s
Memory usage4.5 GB10.3 GB
Memory %14%32%

HW Fit Score Breakdown

qwen3.5:2b

Speed
40/50
TTFT
30/20
Memory
30/30

vicuna:13b

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

Quality

qwen3.5:2b

Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak 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 qwen3.5:2b 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