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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3-vl-4b-instruct-q4_k_m

OPENAI GGUF
Good

Apr 22, 2026 · Apple M2 Max

Global Score
62 vs 62
Hardware Fit
77 vs 100
Quality Score
55 vs 46

Hardware

google/gemma-4-e4b qwen3-vl-4b-instru…
MachineLENOVO 82JQMac Studio
CPUAMD Ryzen 7 5800HApple M2 Max
Cores1612
RAM16 GB96 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M2 Max
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3-vl-4b-instru…
Tokens/sec27.667.2
First chunk23 ms66 ms
TTFT480 ms68 ms
Load timeN/A0.0 s
Memory usage13.2 GB0.2 GB
Memory %83%0%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3-vl-4b-instruct-q4…

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

Quality

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

qwen3-vl-4b-instruct-q4…

Reasoning
16/20
Coding
0/20
Instruction
12/20
Structured
1/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Poor Math: Adequate Multilingual: Strong

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