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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
81 vs 83
Hardware Fit
84 vs 100
Quality Score
79 vs 76

Hardware

google/gemma-4-e4b qwen3-5-4b-q4-k-m
MachineGMKtec EVO-X3Mac Pro
CPUAMD RYZEN AI MAX+ 395Intel Core™ i5-10400
Cores3212
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsAMD Radeon RX 6700 XT
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.5.1
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3-5-4b-q4-k-m
Tokens/sec47.362.7
First chunk23 ms278 ms
TTFT1.9 s278 ms
Load timeN/A0.0 s
Memory usage13.2 GB0.0 GB
Memory %11%0%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
TTFT
10/20
Memory
30/30

qwen3-5-4b-q4-k-m

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

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
Instruction
15/20
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 qwen3-5-4b-q4-k-m 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