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gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 6, 2026 · AMD RYZEN AI MAX+ 395 w/ Radeon 8060S

Global Score
78 vs 82
Hardware Fit
72 vs 81
Quality Score
81 vs 82

Hardware

gemma4:e4b-mlx qwen3.5:9b
MachineMacBook ProAZW GTR Pro
CPUApple M2 ProAMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Cores1032
RAM16 GB125 GB
GPUApple M2 ProIntegrated / Apple Silicon
OSmacOS 26.5Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance

Performance

gemma4:e4b-mlx qwen3.5:9b
Tokens/sec26.930.8
First chunk222 ms195 ms
TTFT222 ms195 ms
Load time0.1 s6.8 s
Memory usage15.4 GB18.8 GB
Memory %96%15%

HW Fit Score Breakdown

gemma4:e4b-mlx

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

qwen3.5:9b

Speed
31/50
TTFT
20/20
Memory
30/30

Quality

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

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
11/15
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 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