qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
gemma3:270m
OLLAMA GGUFgemma3 · 268.10M · Q8_0
Mar 5, 2026 · Apple M3 Pro
Global Score
84 vs 50
Hardware Fit
94 vs 97
Quality Score
80 vs 30
Hardware
qwen3.5:9b gemma3:270m
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M3 Pro
Cores2012
RAM32 GB36 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M3 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 15.7.5
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b gemma3:270m
Tokens/sec86.3239.2
First chunk316 ms127 ms
TTFT316 ms127 ms
Load time0.3 s0.7 s
Memory usage8.1 GB0.6 GB
Memory %25%2%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
24/30
gemma3:270m
Speed
50/50
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
gemma3:270m
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
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