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gemma4:e4b-it-q8_0

OLLAMA GGUF

gemma4 · 8.0B · Q8_0

Excellent

Aug 26, 2026 · Apple M1 Pro

qwen3.5-4b-mlx

LM-STUDIO MLX

qwen3_5 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
91 vs 71
Hardware Fit
88 vs 88
Quality Score
92 vs 63

Hardware

gemma4:e4b-it-q8_0 qwen3.5-4b-mlx
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-it-q8_0 qwen3.5-4b-mlx
Tokens/sec30.023.1
First chunk311 ms3279 ms
TTFT6.2 s3.3 s
Load time6.9 sN/A
Memory usage5.0 GB2.9 GB
Memory %31%9%

HW Fit Score Breakdown

gemma4:e4b-it-q8_0

Speed
50/50
TTFT
8/20
Memory
30/30

qwen3.5-4b-mlx

Speed
45/50
TTFT
13/20
Memory
30/30

Quality

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

qwen3.5-4b-mlx

Reasoning
15/20
Coding
16/20
Instruction
6/20
Structured
6/15
Math
11/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong
View gemma4:e4b-it-q8_0 details | View qwen3.5-4b-mlx details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest