Qwen3-Next-80B:80B
OLLAMA GGUFqwen3next · 79.7B · unknown
Aug 18, 2026 · Intel Core™ Ultra X7 358H
google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Sep 20, 2026 · AMD Ryzen 9 8940HX
Global Score
19 vs 83
Hardware Fit
52 vs 96
Quality Score
5 vs 78
Hardware
Qwen3-Next-80B:80B google/gemma-4-e4b
MachineGMKtec NucBox EVO-T2SASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ Ultra X7 358HAMD Ryzen 9 8940HX
Cores1632
RAM64 GB15 GB
GPUIntel(R) Arc(TM) B390 GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
Qwen3-Next-80B:80B google/gemma-4-e4b
Tokens/sec1000000.035.9
First chunk5563 ms9 ms
TTFT30.0 s182 ms
Load time72.5 sN/A
Memory usage61.3 GB6.5 GB
Memory %97%43%
HW Fit Score Breakdown
Qwen3-Next-80B:80B
Speed
50/50
TTFT
0/20
Memory
2/30
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