qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
hf.co/ornith-ai/Ornith-1.0-9B-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 8.95B · unknown
Aug 23, 2026 · Apple M1 Pro
Global Score
85 vs 62
Hardware Fit
96 vs 96
Quality Score
80 vs 47
Hardware
qwen3.5:9b hf.co/ornith-ai/Or…
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M1 Pro
Cores2010
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M1 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b hf.co/ornith-ai/Or…
Tokens/sec88.622.3
First chunk306 ms324 ms
TTFT306 ms324 ms
Load time7.0 s3.2 s
Memory usage8.1 GB6.9 GB
Memory %25%43%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
26/30
hf.co/ornith-ai/Ornith-…
Speed
49/50
TTFT
20/20
Memory
27/30
Quality
qwen3.5:9b
Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
hf.co/ornith-ai/Ornith-…
Reasoning
16/20
Coding
14/20
Instruction
3/20
Structured
1/15
Math
13/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
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