Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ i7-14700F

Global Score
59 vs 69
Hardware Fit
62 vs 51
Quality Score
58 vs 76

Hardware

google/gemma-4-e4b qwen2-57b:57B
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUAMD Ryzen 7 4800HIntel Core™ i7-14700F
Cores1628
RAM15 GB64 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUNVIDIA GeForce RTX 5080
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Enterprise 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen2-57b:57B
Tokens/sec7.17.7
First chunk41 ms940 ms
TTFT1.2 s940 ms
Load time71.7 s0.2 s
Memory usage0.9 GB33.3 GB
Memory %6%52%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
12/50
TTFT
20/20
Memory
30/30

qwen2-57b:57B

Speed
8/50
TTFT
19/20
Memory
24/30

Quality

google/gemma-4-e4b

Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen2-57b:57B

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen2-57b:57B 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