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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Kimi-48B:48B

OLLAMA GGUF

kimi-linear · 49.1B · unknown

Excellent

Aug 19, 2026 · Intel Core™ i7-14700F

Global Score
68 vs 85
Hardware Fit
93 vs 83
Quality Score
57 vs 86

Hardware

google/gemma-4-e4b Kimi-48B:48B
MachineLENOVO 82JQHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUAMD Ryzen 7 5800HIntel Core™ i7-14700F
Cores1628
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 5080
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 Enterprise 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b Kimi-48B:48B
Tokens/sec26.232.8
First chunk17 ms724 ms
TTFT572 ms724 ms
Load timeN/A20.9 s
Memory usage6.5 GB25.8 GB
Memory %41%41%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

Kimi-48B:48B

Speed
36/50
TTFT
20/20
Memory
27/30

Quality

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

Kimi-48B:48B

Reasoning
16/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
13/15
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest