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gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
81 vs 89
Hardware Fit
82 vs 88
Quality Score
81 vs 89

Hardware

gemma4:12b-mlx qwen3.8:27b-q8_0
MachineMacBook ProDell Inc. PowerEdge XE8545
CPUApple M2 ProAMD EPYC 7713 64-Core Processor
Cores10128
RAM16 GB1007 GB
GPUApple M2 ProGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.5Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

gemma4:12b-mlx qwen3.8:27b-q8_0
Tokens/sec25.340.0
First chunk761 ms177 ms
TTFT7.7 s177 ms
Load time3.6 s24.7 s
Memory usage7.1 GB51.0 GB
Memory %44%5%

HW Fit Score Breakdown

gemma4:12b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

qwen3.8:27b-q8_0

Speed
38/50
TTFT
20/20
Memory
30/30

Quality

gemma4:12b-mlx

Reasoning
16/20
Coding
15/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.8:27b-q8_0

Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma4:12b-mlx details | View qwen3.8:27b-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