qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
gemma4:e4b
OLLAMA GGUFgemma4 · 8.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
84 vs 90
Hardware Fit
94 vs 88
Quality Score
80 vs 91
Hardware
qwen3.5:9b gemma4:e4b
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 gemma4:e4b
Tokens/sec86.335.6
First chunk316 ms300 ms
TTFT316 ms6.1 s
Load time0.3 s6.1 s
Memory usage8.1 GB3.1 GB
Memory %25%19%
HW Fit Score Breakdown
qwen3.5:9b
Speed
50/50
TTFT
20/20
Memory
24/30
gemma4:e4b
Speed
50/50
TTFT
8/20
Memory
30/30
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
gemma4:e4b
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong 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