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Qwen3-Next-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · unknown

Not Rec.

Aug 18, 2026 · Intel Core™ i7-14700F

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
25 vs 83
Hardware Fit
71 vs 96
Quality Score
5 vs 78

Hardware

Qwen3-Next-80B:80B google/gemma-4-e4b
MachineHP OMEN 35L VALORANT Limited Edition Gaming Desktop PCASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ i7-14700FAMD Ryzen 9 8940HX
Cores2832
RAM128 GB15 GB
GPUNVIDIA GeForce RTX 5080NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSMicrosoft Windows 11 Enterprise 10.0.26200Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

Qwen3-Next-80B:80B google/gemma-4-e4b
Tokens/sec29.135.9
First chunk815 ms9 ms
TTFT769 ms182 ms
Load time56.9 sN/A
Memory usage61.7 GB6.5 GB
Memory %48%43%

HW Fit Score Breakdown

Qwen3-Next-80B:80B

Speed
29/50
TTFT
17/20
Memory
25/30

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

Quality

Qwen3-Next-80B:80B

Reasoning
0/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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