Back to leaderboard

qwen3:4b

OLLAMA GGUF

qwen3 · 4.0B · Q4_K_M

Not Rec.

Nov 4, 2026 · Intel Core™ i7-9700

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
29 vs 68
Hardware Fit
84 vs 93
Quality Score
6 vs 57

Hardware

qwen3:4b google/gemma-4-e4b
MachineVMware, Inc. VMware Virtual PlatformLENOVO 82JQ
CPUIntel Core™ i7-9700AMD Ryzen 7 5800H
Cores416
RAM16 GB16 GB
GPUIntegrated / UnknownNVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 24.04.5 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modeunknownbalanced

Performance

qwen3:4b google/gemma-4-e4b
Tokens/sec10.426.2
First chunk857 ms17 ms
TTFT857 ms572 ms
Load time41.0 sN/A
Memory usage3.0 GB6.5 GB
Memory %19%41%

HW Fit Score Breakdown

qwen3:4b

Speed
34/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

Quality

qwen3:4b

Reasoning
0/20
Coding
2/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor

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