google/gemma-4-e4b
LM-STUDIO GGUFvlm · 7.9B · Q4_K_M
Oct 1, 2026 · AMD Ryzen 7 4800H
qwen3-30b-a3b-thinking-2507-claude-4.5-sonnet-high-reasoning-distill-mlx
LM-STUDIO MLXqwen3_moe · 30B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
59 vs 96
Hardware Fit
62 vs 95
Quality Score
58 vs 96
Hardware
google/gemma-4-e4b qwen3-30b-a3b-thin…
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Pro
CPUAMD Ryzen 7 4800HApple M4 Max
Cores1616
RAM15 GB128 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M4 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen3-30b-a3b-thin…
Tokens/sec7.1112.8
First chunk41 ms21 ms
TTFT1.2 s1.5 s
Load time71.7 s3.5 s
Memory usage0.9 GB0.0 GB
Memory %6%0%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
12/50
TTFT
20/20
Memory
30/30
qwen3-30b-a3b-thinking-…
Speed
50/50
TTFT
15/20
Memory
30/30
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
qwen3-30b-a3b-thinking-…
Reasoning
19/20
Coding
18/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest