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qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

gemma4:12b

OLLAMA GGUF

gemma4 · 11.9B · Q4_K_M

Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
59 vs 89
Hardware Fit
63 vs 88
Quality Score
58 vs 89

Hardware

qwen3.8-27b-mlx gemma4:12b
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M2 Pro
Cores1810
RAM64 GB16 GB
GPUApple M5 MaxApple M2 Pro
OSmacOS 27.0macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.8-27b-mlx gemma4:12b
Tokens/sec18.318.5
First chunk4 ms752 ms
TTFT530 ms752 ms
Load timeN/A6.1 s
Memory usage38.5 GB7.5 GB
Memory %60%47%

HW Fit Score Breakdown

qwen3.8-27b-mlx

Speed
23/50
TTFT
20/20
Memory
20/30

gemma4:12b

Speed
42/50
TTFT
20/20
Memory
26/30

Quality

qwen3.8-27b-mlx

Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

gemma4:12b

Reasoning
17/20
Coding
18/20
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

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