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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-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
59 vs 62
Hardware Fit
63 vs 77
Quality Score
58 vs 55

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/sec18.327.6
First chunk4 ms23 ms
TTFT530 ms480 ms
Load timeN/AN/A
Memory usage38.5 GB13.2 GB
Memory %60%83%

HW Fit Score Breakdown

qwen3.8-27b-mlx

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

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

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-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor 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