Back to leaderboard

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Kimi-48B:48B

OLLAMA GGUF

kimi-linear · 49.1B · unknown

Excellent

Aug 19, 2026 · Intel Core™ i7-14700F

Global Score
78 vs 85
Hardware Fit
68 vs 83
Quality Score
82 vs 86

Hardware

google/gemma-4-e4b… Kimi-48B:48B
MachineDocker ContainerHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i7-14700F
Cores1628
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 5080
OSUbuntu 26.04 LTSMicrosoft Windows 11 Enterprise 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

google/gemma-4-e4b… Kimi-48B:48B
Tokens/sec11.432.8
First chunk26 ms724 ms
TTFT2.2 s724 ms
Load time5.9 s20.9 s
Memory usage0.0 GB25.8 GB
Memory %0%41%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

Kimi-48B:48B

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

Quality

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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