Qwen3-Next-80B:80B
OLLAMA GGUFqwen3next · 79.7B · unknown
Aug 18, 2026 · Intel Core™ Ultra X7 358H
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
19 vs 81
Hardware Fit
52 vs 89
Quality Score
5 vs 77
Hardware
Qwen3-Next-80B:80B glm-4.7-flash:q4_K_M
MachineGMKtec NucBox EVO-T2SASUS
CPUIntel Core™ Ultra X7 358HIntel Core™ i5-14600KF
Cores1620
RAM64 GB32 GB
GPUIntel(R) Arc(TM) B390 GPUNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
Qwen3-Next-80B:80B glm-4.7-flash:q4_K_M
Tokens/sec1000000.035.1
First chunk5563 ms440 ms
TTFT30.0 s440 ms
Load time72.5 s11.6 s
Memory usage61.3 GB18.4 GB
Memory %97%58%
HW Fit Score Breakdown
Qwen3-Next-80B:80B
Speed
50/50
TTFT
0/20
Memory
2/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
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
glm-4.7-flash:q4_K_M
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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