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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 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
29 vs 83
Hardware Fit
84 vs 96
Quality Score
6 vs 78

Hardware

qwen3:4b google/gemma-4-e4b
MachineVMware, Inc. VMware Virtual PlatformASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ i7-9700AMD Ryzen 9 8940HX
Cores432
RAM16 GB15 GB
GPUIntegrated / UnknownNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSUbuntu 24.04.5 LTSMicrosoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modeunknownbalanced

Performance

qwen3:4b google/gemma-4-e4b
Tokens/sec10.435.9
First chunk857 ms9 ms
TTFT857 ms182 ms
Load time41.0 sN/A
Memory usage3.0 GB6.5 GB
Memory %19%43%

HW Fit Score Breakdown

qwen3:4b

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

google/gemma-4-e4b

Speed
49/50
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
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
View qwen3:4b 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