Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Nov 4, 2026 · Intel Core™ i7-9700

Global Score
83 vs 71
Hardware Fit
96 vs 90
Quality Score
78 vs 63

Hardware

google/gemma-4-e4b llama3.2:3b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHVMware, Inc. VMware Virtual Platform
CPUAMD Ryzen 9 8940HXIntel Core™ i7-9700
Cores324
RAM15 GB16 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MIntegrated / Unknown
OSMicrosoft Windows 11 Home Single Language 10.0.26200Ubuntu 24.04.5 LTS
Archx64x64
Power Modebalancedunknown

Performance

google/gemma-4-e4b llama3.2:3b
Tokens/sec35.913.0
First chunk9 ms536 ms
TTFT182 ms536 ms
Load timeN/A82.5 s
Memory usage6.5 GB2.4 GB
Memory %43%15%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

llama3.2:3b

Speed
40/50
TTFT
20/20
Memory
30/30

Quality

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

llama3.2:3b

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View google/gemma-4-e4b details | View llama3.2:3b 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