google/gemma-3-4b
LM-STUDIO MLXgemma3 · 4B · 4bit
Mar 3, 2026 · Apple M4
qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Mar 5, 2026 · Apple M1 Max
Global Score
76 vs 62
Hardware Fit
100 vs 100
Quality Score
66 vs 46
Hardware
google/gemma-3-4b qwen3.5:0.8b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Max
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M1 Max
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
google/gemma-3-4b qwen3.5:0.8b
Tokens/sec39.467.6
First chunk468 ms209 ms
TTFT468 ms209 ms
Load timeN/A1.9 s
Memory usage2.8 GB2.6 GB
Memory %9%8%
HW Fit Score Breakdown
google/gemma-3-4b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:0.8b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
google/gemma-3-4b
Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
qwen3.5:0.8b
Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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