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gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
91 vs 89
Hardware Fit
96 vs 95
Quality Score
89 vs 87

Hardware

gemma4:12b-mlx qwen/qwen3-8b
MachineMacBook ProMac mini
CPUApple M2 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M2 ProApple M4 Pro
OSmacOS 26.5macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:12b-mlx qwen/qwen3-8b
Tokens/sec24.733.4
First chunk610 ms257 ms
TTFT610 ms257 ms
Load time3.6 sN/A
Memory usage7.1 GB4.3 GB
Memory %45%7%

HW Fit Score Breakdown

gemma4:12b-mlx

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

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

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

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma4:12b-mlx details | View qwen/qwen3-8b 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