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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-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
62 vs 78
Hardware Fit
10 vs 68
Quality Score
84 vs 82

Hardware

Qwen3-80B:80B google/gemma-4-e4b…
MachineHP HyperX OMEN Gaming Laptop 16-ap1xxxDocker Container
CPUAMD Ryzen 9 9955HX3D 16-Core ProcessorIntel Gen Intel® Core™ i9-11900H
Cores3216
RAM31 GB15 GB
GPUAMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPUTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 Home 10.0.26200Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

Qwen3-80B:80B google/gemma-4-e4b…
Tokens/sec4.911.4
First chunk8006 ms26 ms
TTFT8.0 s2.2 s
Load time63.7 s5.9 s
Memory usage47.3 GB0.0 GB
Memory %153%0%

HW Fit Score Breakdown

Qwen3-80B:80B

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

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

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-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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