Back to leaderboard

gemma4:e4b-it-q8_0

OLLAMA GGUF

gemma4 · 8.0B · Q8_0

Excellent

Aug 25, 2026 · Apple M1 Pro

Kimi-48B:48B

OLLAMA GGUF

kimi-linear · 49.1B · unknown

Excellent

Aug 19, 2026 · Intel Core™ Ultra X7 358H

Global Score
88 vs 86
Hardware Fit
100 vs 78
Quality Score
83 vs 89

Hardware

gemma4:e4b-it-q8_0 Kimi-48B:48B
MachineMacBook ProGMKtec NucBox EVO-T2S
CPUApple M1 ProIntel Core™ Ultra X7 358H
Cores1016
RAM16 GB64 GB
GPUApple M1 ProIntel(R) Arc(TM) B390 GPU
OSmacOS 26.6.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

gemma4:e4b-it-q8_0 Kimi-48B:48B
Tokens/sec27.822.8
First chunk204 ms721 ms
TTFT204 ms721 ms
Load time6.6 s23.0 s
Memory usage5.0 GB25.5 GB
Memory %31%40%

HW Fit Score Breakdown

gemma4:e4b-it-q8_0

Speed
50/50
TTFT
20/20
Memory
30/30

Kimi-48B:48B

Speed
31/50
TTFT
20/20
Memory
27/30

Quality

gemma4:e4b-it-q8_0

Reasoning
14/20
Coding
19/20
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
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
13/15
Multilingual
9/10
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