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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

qwen3.5-9b-mlx

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Marginal

Mar 11, 2026 · Apple M4

Global Score
85 vs 59
Hardware Fit
95 vs 65
Quality Score
81 vs 57

Hardware

gemma4:e4b-mlx qwen3.5-9b-mlx
MachineMacBook ProMac mini
CPUApple M2 ProApple M4
Cores1010
RAM16 GB24 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx qwen3.5-9b-mlx
Tokens/sec47.314.3
First chunk258 ms24 ms
TTFT258 ms13.4 s
Load time5.1 s13.3 s
Memory usage7.9 GB2.5 GB
Memory %49%10%

HW Fit Score Breakdown

gemma4:e4b-mlx

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

qwen3.5-9b-mlx

Speed
32/50
TTFT
3/20
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

qwen3.5-9b-mlx

Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate
View gemma4:e4b-mlx details | View qwen3.5-9b-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