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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
80 vs 62
Hardware Fit
85 vs 77
Quality Score
78 vs 55

Hardware

qwen3:8b google/gemma-4-e4b
MachineHP HP Z8 G4 WorkstationLENOVO 82JQ
CPUIntel Xeon® Gold 6230AMD Ryzen 7 5800H
Cores8016
RAM252 GB16 GB
GPUTU104GL [Quadro RTX 5000]NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3:8b google/gemma-4-e4b
Tokens/sec65.127.6
First chunk289 ms23 ms
TTFT4.2 s480 ms
Load time4.6 sN/A
Memory usage5.6 GB13.2 GB
Memory %2%83%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
5/20
Memory
30/30

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

Quality

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
View qwen3:8b details | View google/gemma-4-e4b 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