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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
85 vs 86
Hardware Fit
95 vs 100
Quality Score
81 vs 80

Hardware

gemma4:e4b-mlx qwen3.5:9b-q8_0
MachineMacBook ProGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M2 ProIntel Core™ i5-14400F
Cores1016
RAM16 GB32 GB
GPUApple M2 ProNVIDIA GeForce RTX 5060 Ti
OSmacOS 26.5Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx qwen3.5:9b-q8_0
Tokens/sec47.337.7
First chunk258 ms120 ms
TTFT258 ms120 ms
Load time5.1 s8.3 s
Memory usage7.9 GB8.4 GB
Memory %49%26%

HW Fit Score Breakdown

gemma4:e4b-mlx

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

qwen3.5:9b-q8_0

Speed
50/50
TTFT
20/20
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-q8_0

Reasoning
14/20
Coding
16/20
Instruction
15/20
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-q8_0 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