Back to leaderboard

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

Global Score
81 vs 77
Hardware Fit
96 vs 59
Quality Score
75 vs 84

Hardware

qwen3:8b gemma-4-e4b-it@q5_…
MachineASUSDocker Container
CPUIntel Core™ i5-14600KFIntel Gen Intel® Core™ i9-11900H
Cores2016
RAM32 GB15 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen3:8b gemma-4-e4b-it@q5_…
Tokens/sec109.19.3
First chunk190 ms51 ms
TTFT190 ms3.4 s
Load time4.3 s12.2 s
Memory usage5.6 GB0.0 GB
Memory %18%0%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
26/30

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

Quality

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

gemma-4-e4b-it@q5_k_xl

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3:8b details | View gemma-4-e4b-it@q5_… details

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