Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Kimi-48B:48B

OLLAMA GGUF

kimi-linear · 49.1B · unknown

Excellent

Aug 19, 2026 · Intel Core™ i7-14700F

Global Score
83 vs 85
Hardware Fit
96 vs 83
Quality Score
78 vs 86

Hardware

google/gemma-4-e4b Kimi-48B:48B
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUAMD Ryzen 9 8940HXIntel Core™ i7-14700F
Cores3228
RAM15 GB64 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MNVIDIA GeForce RTX 5080
OSMicrosoft Windows 11 Home Single Language 10.0.26200Microsoft Windows 11 Enterprise 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b Kimi-48B:48B
Tokens/sec35.932.8
First chunk9 ms724 ms
TTFT182 ms724 ms
Load timeN/A20.9 s
Memory usage6.5 GB25.8 GB
Memory %43%41%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

Kimi-48B:48B

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

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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