ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
qwen3-vl:2b
OLLAMA GGUFqwen3vl · 2.1B · Q4_K_M
Mar 5, 2026 · AMD RYZEN AI MAX+ 395
Global Score
69 vs 62
Hardware Fit
95 vs 99
Quality Score
58 vs 46
Hardware
ornith-1.5:9b qwen3-vl:2b
MachineMacBook ProAZW GTR Pro
CPUApple M1 ProAMD RYZEN AI MAX+ 395
Cores1032
RAM16 GB125 GB
GPUApple M1 ProAMD Radeon 8060S
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
ornith-1.5:9b qwen3-vl:2b
Tokens/sec22.2127.4
First chunk341 ms101 ms
TTFT341 ms630 ms
Load time4.8 s5.9 s
Memory usage7.1 GB33.2 GB
Memory %45%27%
HW Fit Score Breakdown
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
qwen3-vl:2b
Speed
50/50
TTFT
19/20
Memory
30/30
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-vl:2b
Reasoning
7/20
Coding
0/20
Instruction
11/20
Structured
7/15
Math
13/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest