Qwen3-Next-80B:80B
OLLAMA GGUFqwen3next · 79.7B · unknown
Aug 18, 2026 · Intel Core™ i7-14700F
prism-ml/bonsai-27b
LM-STUDIO GGUFqwen35 · 27B · Q1_0
Sep 20, 2026 · AMD Ryzen 9 8940HX
Global Score
25 vs 81
Hardware Fit
71 vs 95
Quality Score
5 vs 75
Hardware
Qwen3-Next-80B:80B prism-ml/bonsai-27b
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 prism-ml/bonsai-27b
Tokens/sec29.133.6
First chunk815 ms20 ms
TTFT769 ms409 ms
Load time56.9 sN/A
Memory usage61.7 GB5.3 GB
Memory %48%35%
HW Fit Score Breakdown
Qwen3-Next-80B:80B
Speed
29/50
TTFT
17/20
Memory
25/30
prism-ml/bonsai-27b
Speed
46/50
TTFT
20/20
Memory
29/30
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
prism-ml/bonsai-27b
Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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