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google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
59 vs 83
Hardware Fit
62 vs 96
Quality Score
58 vs 78

Hardware

google/gemma-4-e4b qwen3-vl:4b-instruct
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMac Studio
CPUAMD Ryzen 7 4800HApple M2 Max
Cores1612
RAM15 GB96 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M2 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3-vl:4b-instruct
Tokens/sec7.191.2
First chunk41 ms150 ms
TTFT1.2 s150 ms
Load time71.7 s5.3 s
Memory usage0.9 GB42.5 GB
Memory %6%44%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
12/50
TTFT
20/20
Memory
30/30

qwen3-vl:4b-instruct

Speed
50/50
TTFT
20/20
Memory
26/30

Quality

google/gemma-4-e4b

Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3-vl:4b-instruct

Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen3-vl:4b-instruct 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