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qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

Global Score
86 vs 78
Hardware Fit
100 vs 72
Quality Score
80 vs 81

Hardware

qwen3.5:9b-q8_0 gemma4:e4b-mlx
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M2 Pro
Cores1610
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 5060 TiApple M2 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b-q8_0 gemma4:e4b-mlx
Tokens/sec37.726.9
First chunk120 ms222 ms
TTFT120 ms222 ms
Load time8.3 s0.1 s
Memory usage8.4 GB15.4 GB
Memory %26%96%

HW Fit Score Breakdown

qwen3.5:9b-q8_0

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

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

Quality

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

gemma4:e4b-mlx

Reasoning
14/20
Coding
19/20
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
View qwen3.5:9b-q8_0 details | View gemma4:e4b-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