Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

qwen3-next-80b-t48:latest

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Not Rec.

Jul 31, 2026 · Intel Xeon® E5-4620 0

Global Score
68 vs 70
Hardware Fit
93 vs 39
Quality Score
57 vs 83

Hardware

google/gemma-4-e4b qwen3-next-80b-t48…
MachineLENOVO 82JQDell Inc. PowerEdge R820
CPUAMD Ryzen 7 5800HIntel Xeon® E5-4620 0
Cores1664
RAM16 GB256 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUMicrosoft Remote Display Adapter, Microsoft Basic Display Adapter
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100Microsoft Windows Server 2022 Datacenter 10.0.20348
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3-next-80b-t48…
Tokens/sec26.23.0
First chunk17 ms3265 ms
TTFT572 ms3.3 s
Load timeN/A82.1 s
Memory usage6.5 GB46.9 GB
Memory %41%18%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3-next-80b-t48:latest

Speed
3/50
TTFT
6/20
Memory
30/30

Quality

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

qwen3-next-80b-t48:latest

Reasoning
18/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong

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