Back to leaderboard

ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score
69 vs 71
Hardware Fit
95 vs 56
Quality Score
58 vs 78

Hardware

ornith-1.5:9b qwen3.5:9b
MachineMacBook ProSystem manufacturer
CPUApple M1 ProAMD Ryzen 5 5500
Cores1012
RAM16 GB16 GB
GPUApple M1 ProNVIDIA GeForce RTX 3060
OSmacOS 26.6.2Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

ornith-1.5:9b qwen3.5:9b
Tokens/sec22.25.3
First chunk341 ms1624 ms
TTFT341 ms1.6 s
Load time4.8 s4.0 s
Memory usage7.1 GB7.9 GB
Memory %45%50%

HW Fit Score Breakdown

ornith-1.5:9b

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

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

Quality

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

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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