Qwen3-Next-80B:80B
OLLAMA GGUFqwen3next · 79.7B · unknown
Aug 18, 2026 · Intel Core™ i7-14700F
google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest