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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 4bit

Good

Mar 6, 2026 · Apple M4 Pro

Global Score
85 vs 65
Hardware Fit
95 vs 88
Quality Score
81 vs 55

Hardware

gemma4:e4b-mlx qwen3.5-2b-mlx
MachineMacBook ProMac mini
CPUApple M2 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M2 ProApple M4 Pro
OSmacOS 26.5macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx qwen3.5-2b-mlx
Tokens/sec47.348.9
First chunk258 ms4208 ms
TTFT258 ms4.2 s
Load time5.1 sN/A
Memory usage7.9 GB1.6 GB
Memory %49%3%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
25/30

qwen3.5-2b-mlx

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

Quality

gemma4:e4b-mlx

Reasoning
15/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5-2b-mlx

Reasoning
10/20
Coding
7/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View gemma4:e4b-mlx details | View qwen3.5-2b-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