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vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

Global Score
59 vs 69
Hardware Fit
84 vs 95
Quality Score
48 vs 58

Hardware

vicuna:13b ornith-1.5:9b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

vicuna:13b ornith-1.5:9b
Tokens/sec13.422.2
First chunkN/A341 ms
TTFT438 ms341 ms
Load time0.6 s4.8 s
Memory usage10.3 GB7.1 GB
Memory %32%45%

HW Fit Score Breakdown

vicuna:13b

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

ornith-1.5:9b

Speed
49/50
TTFT
20/20
Memory
26/30

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

ornith-1.5:9b

Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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