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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

parable-qwen3-4b-claude-fable-5

LM-STUDIO GGUF

qwen3 · 4B · Q4_K_M

Good

Oct 24, 2026 · Intel Core™ i3-9100F

Global Score
81 vs 67
Hardware Fit
84 vs 66
Quality Score
79 vs 67

Hardware

google/gemma-4-e4b parable-qwen3-4b-c…
MachineGMKtec EVO-X3Gigabyte Technology Co., Ltd. H310M S2 2.0
CPUAMD RYZEN AI MAX+ 395Intel Core™ i3-9100F
Cores324
RAM120 GB16 GB
GPUAMD Radeon(TM) 8060S GraphicsVirtual Desktop Monitor, NVIDIA GeForce GTX 1650
OSMicrosoft Windows 11 Pro 10.0.26300Майкрософт Windows 10 Pro 10.0.19045
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b parable-qwen3-4b-c…
Tokens/sec47.34.3
First chunk23 ms13 ms
TTFT1.9 s1.9 s
Load timeN/AN/A
Memory usage13.2 GB3.0 GB
Memory %11%19%

HW Fit Score Breakdown

google/gemma-4-e4b

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

parable-qwen3-4b-claude…

Speed
16/50
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

parable-qwen3-4b-claude…

Reasoning
12/20
Coding
12/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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