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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

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

Hardware

google/gemma-4-e4b qwen3.8-27b-mlx
MachineLENOVO 82JQMacBook Pro
CPUAMD Ryzen 7 5800HApple M5 Max
Cores1618
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M5 Max
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 27.0
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.8-27b-mlx
Tokens/sec26.233.2
First chunk17 ms7 ms
TTFT572 ms311 ms
Load timeN/AN/A
Memory usage6.5 GB0.5 GB
Memory %41%1%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.8-27b-mlx

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

Quality

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

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
View google/gemma-4-e4b details | View qwen3.8-27b-mlx details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest