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Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Not Rec.

Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
62 vs 68
Hardware Fit
10 vs 93
Quality Score
84 vs 57

Hardware

Qwen3-80B:80B google/gemma-4-e4b
MachineHP HyperX OMEN Gaming Laptop 16-ap1xxxLENOVO 82JQ
CPUAMD Ryzen 9 9955HX3D 16-Core ProcessorAMD Ryzen 7 5800H
Cores3216
RAM31 GB16 GB
GPUAMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPUNVIDIA GeForce RTX 3060 Laptop GPU
OSMicrosoft Windows 11 Home 10.0.26200Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

Qwen3-80B:80B google/gemma-4-e4b
Tokens/sec4.926.2
First chunk8006 ms17 ms
TTFT8.0 s572 ms
Load time63.7 sN/A
Memory usage47.3 GB6.5 GB
Memory %153%41%

HW Fit Score Breakdown

Qwen3-80B:80B

Speed
6/50
TTFT
4/20
Memory
0/30

google/gemma-4-e4b

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

Quality

Qwen3-80B:80B

Reasoning
17/20
Coding
19/20
Instruction
13/20
Structured
13/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

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
View Qwen3-80B:80B 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