google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Oct 31, 2026 · AMD RYZEN AI MAX+ 395
qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
81 vs 87
Hardware Fit
84 vs 100
Quality Score
79 vs 81
Hardware
google/gemma-4-e4b qwen3-vl-4b-instruct
MachineGMKtec EVO-X3Mac Studio
CPUAMD RYZEN AI MAX+ 395Apple M2 Max
Cores3212
RAM120 GB96 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M2 Max
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen3-vl-4b-instruct
Tokens/sec47.371.2
First chunk23 ms4 ms
TTFT1.9 s156 ms
Load timeN/AN/A
Memory usage13.2 GB20.5 GB
Memory %11%21%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
44/50
TTFT
10/20
Memory
30/30
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
google/gemma-4-e4b
Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
qwen3-vl-4b-instruct
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest