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qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
66 vs 68
Hardware Fit
91 vs 93
Quality Score
55 vs 57

Hardware

qwen3.8-27b-mlx google/gemma-4-e4b
MachineMacBook ProLENOVO 82JQ
CPUApple M5 MaxAMD Ryzen 7 5800H
Cores1816
RAM64 GB16 GB
GPUApple M5 MaxNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 27.0Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.8-27b-mlx google/gemma-4-e4b
Tokens/sec33.226.2
First chunk7 ms17 ms
TTFT311 ms572 ms
Load timeN/AN/A
Memory usage0.5 GB6.5 GB
Memory %1%41%

HW Fit Score Breakdown

qwen3.8-27b-mlx

Speed
41/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

Quality

qwen3.8-27b-mlx

Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
View qwen3.8-27b-mlx details | View google/gemma-4-e4b 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