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gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

qwen3.5-9b

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Excellent

Mar 3, 2026 · Apple M4

Global Score
91 vs 81
Hardware Fit
96 vs 84
Quality Score
89 vs 79

Hardware

gemma4:12b-mlx qwen3.5-9b
MachineMacBook ProMacBook Air
CPUApple M2 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:12b-mlx qwen3.5-9b
Tokens/sec24.720.4
First chunk610 ms3034 ms
TTFT610 ms3.0 s
Load time3.6 sN/A
Memory usage7.1 GB5.6 GB
Memory %45%17%

HW Fit Score Breakdown

gemma4:12b-mlx

Speed
50/50
TTFT
20/20
Memory
26/30

qwen3.5-9b

Speed
41/50
TTFT
14/20
Memory
29/30

Quality

gemma4:12b-mlx

Reasoning
16/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.5-9b

Reasoning
14/20
Coding
15/20
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 gemma4:12b-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