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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Aug 24, 2026 · Apple M1 Pro

qwen3.5-9b@q5_k_xl

LM-STUDIO GGUF

qwen35 · 9B · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
90 vs 73
Hardware Fit
86 vs 47
Quality Score
92 vs 84

Hardware

gemma4:e4b-mlx qwen3.5-9b@q5_k_xl
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.6.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

gemma4:e4b-mlx qwen3.5-9b@q5_k_xl
Tokens/sec41.85.6
First chunk359 ms19 ms
TTFT4.2 s5.6 s
Load time5.1 s12.5 s
Memory usage7.9 GB0.0 GB
Memory %49%0%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
11/20
Memory
25/30

qwen3.5-9b@q5_k_xl

Speed
10/50
TTFT
7/20
Memory
30/30

Quality

gemma4:e4b-mlx

Reasoning
19/20
Coding
19/20
Instruction
14/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.5-9b@q5_k_xl

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma4:e4b-mlx details | View qwen3.5-9b@q5_k_xl 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