qwen3.5:9b-q8_0
OLLAMA GGUFqwen35 · 9.7B · Q8_0
Sep 15, 2026 · Intel Core™ i5-14400F
gemma4:e4b-it-q8_0
OLLAMA GGUFgemma4 · 8.0B · Q8_0
Aug 26, 2026 · Apple M1 Pro
Global Score
86 vs 91
Hardware Fit
100 vs 88
Quality Score
80 vs 92
Hardware
qwen3.5:9b-q8_0 gemma4:e4b-it-q8_0
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M1 Pro
Cores1610
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 5060 TiApple M1 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b-q8_0 gemma4:e4b-it-q8_0
Tokens/sec37.730.0
First chunk120 ms311 ms
TTFT120 ms6.2 s
Load time8.3 s6.9 s
Memory usage8.4 GB5.0 GB
Memory %26%31%
HW Fit Score Breakdown
qwen3.5:9b-q8_0
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:e4b-it-q8_0
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen3.5:9b-q8_0
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-it-q8_0
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
15/15
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