qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
hf.co/ornith-ai/Ornith-1.0-9B-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 8.95B · unknown
Aug 25, 2026 · Apple M1 Pro
Global Score
80 vs 87
Hardware Fit
98 vs 95
Quality Score
72 vs 83
Hardware
qwen3-vl:30b hf.co/ornith-ai/Or…
MachineASUSMacBook Pro
CPUIntel Core™ Ultra 9 285KApple M1 Pro
Cores2410
RAM47 GB16 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-vl:30b hf.co/ornith-ai/Or…
Tokens/sec208.922.2
First chunk102 ms334 ms
TTFT684 ms334 ms
Load time0.1 s3.3 s
Memory usage22.0 GB6.9 GB
Memory %47%43%
HW Fit Score Breakdown
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
hf.co/ornith-ai/Ornith-…
Speed
48/50
TTFT
20/20
Memory
27/30
Quality
qwen3-vl:30b
Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
hf.co/ornith-ai/Ornith-…
Reasoning
16/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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