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qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

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
59 vs 74
Hardware Fit
63 vs 46
Quality Score
58 vs 86

Hardware

qwen3.8-27b-mlx google/gemma-4-12b…
MachineMacBook ProDocker Container
CPUApple M5 MaxIntel Gen Intel® Core™ i9-11900H
Cores1816
RAM64 GB15 GB
GPUApple M5 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 27.0Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3.8-27b-mlx google/gemma-4-12b…
Tokens/sec18.35.0
First chunk4 ms64 ms
TTFT530 ms5.5 s
Load timeN/A9.5 s
Memory usage38.5 GB0.0 GB
Memory %60%0%

HW Fit Score Breakdown

qwen3.8-27b-mlx

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

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

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

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

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