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rnj-1:8b

OLLAMA GGUF

gemma3 · 8.3B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

Global Score
80 vs 69
Hardware Fit
93 vs 95
Quality Score
74 vs 58

Hardware

rnj-1:8b ornith-1.5:9b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

rnj-1:8b ornith-1.5:9b
Tokens/sec22.322.2
First chunk404 ms341 ms
TTFT404 ms341 ms
Load time3.7 s4.8 s
Memory usage8.3 GB7.1 GB
Memory %52%45%

HW Fit Score Breakdown

rnj-1:8b

Speed
49/50
TTFT
20/20
Memory
24/30

ornith-1.5:9b

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

Quality

rnj-1:8b

Reasoning
12/20
Coding
19/20
Instruction
15/20
Structured
5/15
Math
14/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Weak Math: Strong 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