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qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Oct 20, 2026 · Apple M1 Pro

google/gemma-4-12b-it-qat

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
78 vs 74
Hardware Fit
56 vs 46
Quality Score
87 vs 86

Hardware

qwen3.8-27b-mlx google/gemma-4-12b…
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 15.6.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3.8-27b-mlx google/gemma-4-12b…
Tokens/sec10.85.0
First chunk8 ms64 ms
TTFT2.6 s5.5 s
Load timeN/A9.5 s
Memory usage21.0 GB0.0 GB
Memory %66%0%

HW Fit Score Breakdown

qwen3.8-27b-mlx

Speed
23/50
TTFT
16/20
Memory
17/30

google/gemma-4-12b-it-qat

Speed
9/50
TTFT
7/20
Memory
30/30

Quality

qwen3.8-27b-mlx

Reasoning
18/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

google/gemma-4-12b-it-qat

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.8-27b-mlx details | View google/gemma-4-12b… 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