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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

codestral:latest

OLLAMA GGUF

llama · 22.2B · Q4_0

Good

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
62 vs 76
Hardware Fit
77 vs 91
Quality Score
55 vs 69

Hardware

google/gemma-4-e4b codestral:latest
MachineLENOVO 82JQGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUAMD Ryzen 7 5800HIntel Core™ i5-14400F
Cores1616
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 5060 Ti
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows 11 Professionnel 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b codestral:latest
Tokens/sec27.627.4
First chunk23 ms86 ms
TTFT480 ms86 ms
Load timeN/A7.2 s
Memory usage13.2 GB12.6 GB
Memory %83%40%

HW Fit Score Breakdown

google/gemma-4-e4b

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

codestral:latest

Speed
43/50
TTFT
20/20
Memory
28/30

Quality

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

codestral:latest

Reasoning
11/20
Coding
17/20
Instruction
11/20
Structured
13/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View google/gemma-4-e4b details | View codestral:latest 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